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Journal articles on the topic 'Remote medical diagnostics and treatment'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Manwal, Manika. "Smart Healthcare Systems: The Impact of IoT on Medical Diagnostics and Treatment." INFORMATION TECHNOLOGY IN INDUSTRY 7, no. 3 (2019): 68–77. http://dx.doi.org/10.17762/itii.v7i3.814.

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AbstractThe rapid advancement of technology has led to the development of the Internet of Things (IoT), which is revolutionizing various sectors, including healthcare. Smart healthcare systems, powered by IoT, have the potential to significantly improve medical diagnostics and treatment, thus enhancing patient outcomes and reducing healthcare costs. This paper aims to analyze the impact of IoT on medical diagnostics and treatment, focusing on three key areas: remote patient monitoring, telemedicine, and artificial intelligence (AI) in diagnostics. Remote patient monitoring allows for real-time

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Magrupov, T. M., Z. M. Yuldashev, and S. P. Abdihalikov. "A Medical Hardware-Software System for Remote Monitoring of Heart Diseases." Journal of the Russian Universities. Radioelectronics 24, no. 2 (2021): 78–86. http://dx.doi.org/10.32603/1993-8985-2021-24-2-78-86.

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Introduction. Wireless diagnostics of patients’ functional state is important for ensuring timely detection and treatment of diseases. In this article, the development of a medical hardware-software system for remote monitoring of the state of biological objects is considered on the example of cardiovascular diseases.Aim. To develop a medical hardware-software system for remote monitoring of the main cardiovascular parameters and to expand the scope of medical remote telemetry equipment, which can eventually lead to improved medical services.Materials and methods. On the example of cardiovascu

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Aleksey, Anatolievich Zakharenko. "On necessity of development of instant interplanetary telecommunication based on some gravitational phenomena for remote medical diagnostics and treatment." Canadian Journal of Pure and Applied Sciences 12, no. 2 (2018): 4481–87. https://doi.org/10.5281/zenodo.1301289.

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This report discusses the possibility of instant interplanetary telecommunication based on some gravitational phenomena. This is possible because of the existence of new four-potential waves that can propagate in a vacuum. These new waves propagate due to coupling among the electrical, magnetic, gravitational, and cogravitational potentials. Their propagation speed can be several orders faster than the speed of light in a vacuum representing the today speed of interplanetary communication. The communication with the speed of light (i.e. electromagnetic waves that propagate due to coupling betw

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M., Harini. "Telemedicine and Health Care Accessibility: AI-Powered Remote Diagnostics." Siddhanta's International Journal of Advanced Research in Arts & Humanities 1, no. 5 (2024): 34–41. https://doi.org/10.5281/zenodo.11611305.

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Telemedicine, augmented by AI-powered remote diagnostics, is transforming healthcare accessibility by bridging geographical, economic, and logistical gaps. This integration facilitates early disease detection, continuous health monitoring, and personalized care, significantly improving patient outcomes and reducing healthcare costs. AI’s capabilities in analyzing medical data and providing decision support enhance diagnostic accuracy and treatment effectiveness. Additionally, telemedicine expands specialist access and addresses workforce shortages, particularly in underserved regions. De

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Harini, M. "Telemedicine and health care accessibility: AI-powered remote Diagnostics." Bulletin of Nexus 1, no. 1 (2024): 1–5. https://doi.org/10.5281/zenodo.14538611.

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<em>Telemedicine, augmented by AI-powered remote diagnostics, is transforming healthcare accessibility by bridging geographical, economic, and logistical gaps. This integration facilitates early disease detection, continuous health monitoring, and personalized care, significantly improving patient outcomes and reducing healthcare costs. AI’s capabilities in analyzing medical data and providing decision support enhance diagnostic accuracy and treatment effectiveness. Additionally, telemedicine expands specialist access and addresses workforce shortages, particularly in underserved regions

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R, Nidhya, Smilarubavathy G, and Pavithra D. "Transforming rural healthcare: a mobile app for digital consultation and diagnostics." South Health and Policy 4 (April 7, 2025): 235. https://doi.org/10.56294/shp2025235.

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Access to quality medical care is essential for maintaining a healthy life, yet it remains challenging for many, particularly in addressing health issues promptly and effectively. Digital diagnostics and virtual consultations are transforming healthcare by leveraging technology to enhance patient care and streamline medical processes. These tools enable remote communication between patients and healthcare professionals, eliminating geographical barriers and increasing access to expert medical advice. This is especially beneficial in rural areas of India, where timely consultations and proactiv

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Kailash, Alle. "AI in Healthcare: Predictive Analytics and Diagnostics." Journal of Scientific and Engineering Research 7, no. 9 (2020): 233–37. https://doi.org/10.5281/zenodo.13347491.

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Predictive analytics and decision support systems are changing patient care in artificial intelligence (AI) in healthcare. Through the identification of trends and risk variables, predictive analytics ease early illness prevention and diagnosis, improving patient outcomes and enabling cost-effective healthcare. By using unique patient data to create customized therapies that maximize benefits and reduce side effects, machine learning enables individualized treatment strategies. AI-driven algorithms improve diagnostic precision in medical imaging by delivering quick and correct evaluations. Hea

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A, Uzorka, Musa B, Kibirige D, and Makumbi D. "Advancements in microfluidic technologies for point-of-care diagnostics and treatment." KIU Journal of Health Sciences 4, no. 2 (2024): 15–21. https://doi.org/10.59568/kjhs-2024-4-2-03.

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Healthcare game-changers include point-of-care (POC) medical microdevices that are driven by microfluidic technologies. These micro, transportable technologies revolutionize patient care by offering quick diagnosis, individualized treatments, and monitoring. This study examines the most recent developments in microfluidic POC technologies with an emphasis on systems for organ-on-a-chip, drug administration, and blood analysis. Recent developments have improved disease modeling, permitted precise drug administration, and made blood analysis more patient-centric. Patient care and remote monitori

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Suplotova, L. A., and O. O. Alieva. "Glycemia control using remote technologies." Meditsinskiy sovet = Medical Council 17, no. 9 (2023): 81–88. http://dx.doi.org/10.21518/ms2023-157.

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Diabetes mellitus is a chronic metabolic disease with a rapidly increasing prevalence. Glycemic control in diabetes mellitus remains the key to improving the effectiveness of therapy, reducing the risk of hypoglycemia, preventing microvascular complications, and reducing the long-term risk of macrovascular complications. However, regular glycemic control is only a part of this process, since an equally important step is the timely and correct interpretation of the data obtained, as well as the decision on further therapeutic tactics. Technological advances are providing tools to help diabetic

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10

Bilmakhanbetova, Ainur, Gulnara Kulkayeva, Serik Ibrayev, and Lyazzat Saduakassova. "Remote Monitoring and Management of Arterial Hypertension Patients in the Digital Age." Journal of Health Development 52, no. 3 (2023): 36–42. http://dx.doi.org/10.32921/2225-9929-2023-3-52-36-42.

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The use of active remote monitoring of patients with AH receiving antihypertensive therapy helps to achieve target BP values with subsequent monitoring of health indicators, as well as to provide timely medical care. Remote monitoring and treatment using information and communication technologies has been proposed to improve the quality of medical care. The introduction of remote BP monitoring will significantly improve the existing model of diagnostics and treatment of patients with chronic diseases, increase the number of observed patients at each therapeutic site without increasing the time

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Pratibhahanmantrao, Gaikwad, and Dave DhirenPranshankar. "Remote Sensing with Internet Based Patient Condition Observing System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 629–32. https://doi.org/10.11591/ijeecs.v9.i3.pp629-632.

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This Paper aims to design and demonstrate an innovative web-based remote healthcare diagnostic system that provides vital medical data and live video images of a patient situated in the rural area accessible to a health professional available elsewhere in urban centres resulting in better diagnosis and treatment of that patient.

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12

G, Muthuram. "EcoMedRobo: Greentech Robotics for Physically Impaired Assistance and Mobility Autonomy." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3742–46. https://doi.org/10.22214/ijraset.2025.69093.

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Abstract: This research introduces an independent solar-powered robotic system designed specifically to assist and care for elderly and physically disabled persons, embedding Internet of Things (IoT) technologies to improve accessibility and responsiveness of healthcare services. The system has a wireless relay system, allowing remote control and intervention by medical staff, thus making continuous patient monitoring and initial diagnostics possible. At the centre of the design is a robotic nursing unit that can travel autonomously to the patient's bedside, offering audio-guided instructions

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Ayyappan, Vithyash, and Vikash Ayyappan. "Artificial Intelligence in Healthcare: A New Frontier in Medical Innovation." Healthcare Administration Leadership & Management Journal 3, no. 3 (2025): 140–43. https://doi.org/10.55834/halmj.8737939725.

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Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, treatment, and patient care through its ability to process vast amounts of data quickly, enabling early disease detection, accurate treatments, and personalized care plans. AI-powered tools, such as advanced imaging systems, improve diagnostic accuracy while reducing unnecessary tests, and in mental health, AI aids in early disorder detection and provides accessible support through virtual therapists and chatbots. By simplifying complex medical information, AI empowers patients to better understand their healt

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14

Suresh, Santosh. "Transformative Potential of Artificial Intelligence and Computer Vision in Modern Healthcare Diagnostics." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 60–68. https://doi.org/10.37745/ejcsit.2013/vol13n346068.

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Artificial intelligence and computer vision technologies are fundamentally transforming healthcare diagnostics and treatment through enhanced detection capabilities, improved accuracy, and revolutionary spatial precision. This comprehensive article examines five interconnected domains where computational intelligence is reshaping clinical practice: the diagnostic paradigm shift toward AI integration, machine learning algorithms for enhanced lesion detection across specialties, real-time analysis capabilities during procedures, robotic integration for unprecedented manipulation precision, and a

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15

Logunov, K. V. "Remote diagnostics of an implanted foreign body in the cornea of the eye on board a merchant sea vessel." Russian Journal of Telemedicine and E-Health 10, no. 4 (2024): 20–25. https://doi.org/10.29188/2712-9217-2024-10-4-20-25.

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A case from the practice of remote support of maritime merchant shipping, demonstrating the features of organizing medical care for shipboard personnel during voyages and the possibility of using a regular smartphone camera for targeted diagnostics of an implanted foreign body in the cornea. The algorithm of actions of a medical worker in the event of the impossibility of timely evacuation of the victim to the hospital, forced treatment on board, delayed provision of qualified assistance, which ended in a favorable outcome, is considered.

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Mirolyubov, L. M., D. Yu Petrushenko, J. B. Kalinicheva, and D. R. Sabirova. "Diagnostics and treatment of congenital heart diseases in newborns." Kazan medical journal 96, no. 4 (2015): 628–32. http://dx.doi.org/10.17750/kmj2015-628.

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Aim. Early detection and timely appropriate surgical treatment of congenital heart disease in order to reduce infant mortality. Methods. The algorithm was designed for the prediction of critical conditions in congenital heart disease in newborns. The algorithm is simple to use, because it does not set a pediatrician-neonatologist a difficult task for the accurate diagnosis of congenital heart disease, but leads physician from the syndromic diagnosis to a certain group of diseases and, therefore, appropriate strategy of patient treatment and management. The algorithm combines both syndrom

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Malathi, Dr K., Shruthi S. Nair, N. Madhumitha, S. Sreelakshmi, U. Sathya, and M. Sangeetha Priya. "Medical Data Integration and Interoperability through Remote Monitoring of Healthcare Devices." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 2 (2022): 60–72. http://dx.doi.org/10.58346/jowua.2024.i2.005.

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In the age of intelligent gadgets and interconnected communities, the widespread surveillance and provision of healthcare to patients are made feasible through the Internet of Medical Things (IoMT). The number of implanted electronic devices that can be monitored remotely is increasing, leading to a rise in the amount and intricacy of biological data. The collected data can offer valuable diagnostic information that can be used to intervene and maintain implanted devices promptly, therefore enhancing the quality of treatment provided. Current remote monitoring processes are not fully using dev

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Vishnyakova, N. A. "POSSIBILITIES OF DETECTION OF ATRIAL FIBRILLATION BY REMOTE ELECTROCARDIOGRAPHIC METHODS IN CONDITIONS OF PRELIMINARY HEALTH CARE." Journal of Volgograd State Medical University 74, no. 2 (2020): 105–8. http://dx.doi.org/10.19163/1994-9480-2020-2(74)-105-108.

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Atrial Fibrillation is a complex and dangerous disease. Methods of remote electrocardiography for examination of patients were used in outpatient units with different territorial remoteness of two medical institutions. ECG records on the Internet were sent to the cloud storage, where it was sent to the personal office of the doctor of functional diagnostics to control the automatic conclusion of the devices. Medical ECG reports were returned to the device to the doctor/paramedic for future work with the patient. Atrial Fibrillation was detected in 137 patients: in 40 cases (29,1 %) for the fir

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19

Jeyaraj, Brigadier Dr Priya, and Lt Gen TSA Narayanan AVSM. "Role of Artificial Intelligence in Enhancing Healthcare Delivery." International Journal of Innovative Science and Modern Engineering 11, no. 12 (2023): 1–13. http://dx.doi.org/10.35940/ijisme.a1310.12111223.

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The integration of Artificial Intelligence (AI) into the healthcare industry has ushered in a new era of innovation and transformation. Artificial Intelligence (AI) is rapidly shaping the future of healthcare. Its integration into various healthcare domains, from medical imaging and diagnostics to drug discovery, virtual health assistants, and remote patient monitoring, has demonstrated transformative potential in improving patient care and healthcare delivery. AI-powered medical imaging algorithms have revolutionized diagnostics, aiding in early disease detection and treatment planning. Drug

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Brigadier, Dr. Priya Jeyaraj. "Role of Artificial Intelligence in Enhancing Healthcare Delivery." International Journal of Innovative Science and Modern Engineering (IJISME) 11, no. 12 (2023): 1–13. https://doi.org/10.35940/ijisme.A1310.12111223.

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<strong>Abstract: </strong>The integration of Artificial Intelligence (AI) into the healthcare industry has ushered in a new era of innovation and transformation. Artificial Intelligence (AI) is rapidly shaping the future of healthcare. Its integration into various healthcare domains, from medical imaging and diagnostics to drug discovery, virtual health assistants, and remote patient monitoring, has demonstrated transformative potential in improving patient care and healthcare delivery. AI-powered medical imaging algorithms have revolutionized diagnostics, aiding in early disease detection an

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21

Ganesh R, Deepak R, Muralidharan R, and Ashok T. "AI Driven Acoustic Insights for Enhanced Lung Health Diagnostics." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 601–8. https://doi.org/10.47392/irjaeh.2025.0084.

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Lung conditions such as asthma, pneumonia, and Chronic Obstructive Pulmonary Disease (COPD) tend to go undetected in early stages, resulting in late treatment and recovery. This project aims to create an AI-based digital stethoscope system for early and accurate identification of abnormal lung conditions. A high-sensitive microphone within the digital stethoscope records lung sounds, which are subsequently processed using Advanced Digital Signal Processing (ADSP) techniques to eliminate noise and enhance prominent acoustic features. Mel-Frequency Cepstral Coefficients (MFCCs) are extracted fro

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Gorpynchenko, Ihor, and Volodymyr Spyrydonenko. "Modern Approaches to Examination of Andrological and Sexological Patients During Covid-pandemia." Health of Man, no. 3 (September 30, 2021): 8–14. https://doi.org/10.30841/2307-5090.3.2021.246205.

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Rapid increase in the overall incidence of pathologies of the reproductive and genitourinary systems in the conditions of a covid epidemic is predictable and requires certain medical and social steps (the formation of a preventive direction of treatment, the restoration of dispensary observation measures, the introduction of social health programs, the ability of citizens to receive qualified and timely specialized medical care etc.). The global spread of the SARS-CoV-2 coronavirus has led to a restriction in the provision of specialized urological care at the time of lockdown, which also nega

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J Dr. Uma Devi A, Naveen Raj K, Mugilan M, Supriya Latha Ananthan, Neha S N, and Sutharsan T. "AI in Healthcare." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 04 (2025): 1100–1111. https://doi.org/10.47392/irjaem.2025.0180.

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Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, treatment planning, and patient care. This article provides an overview of the use of AI in healthcare by means of Electronic Health Records (EHRs), AI symptom checkers, drug discovery, predictive health analysis, and telemedicine. AI has significantly increased efficiency, reduced medical errors, and offered personalized treatments. But present AI-enabled healthcare systems lack some features such as the lack of physical examination, cybersecurity, poor internet connectivity, and medical miscommunication via

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Salama, Ramiz, and Fadi Al-Turjman. "Intelligent Medical Applications Blockchain-Powered 6G Networks." NEU Journal for Artificial Intelligence and Internet of Things 4, no. 1 (2025): 2–15. https://doi.org/10.32955/neuaiit202541922.

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The demand for intelligent, effective, and secure medical applications has increased due to the quick development of healthcare technologies. In order to provide complicated medical services, 6G networks promise ultra-high-speed communication, minimal latency, and huge interconnectedness. 6G networks can offer a strong and secure framework for intelligent medical applications when combined with blockchain technology, guaranteeing data accessibility, privacy, and integrity. By facilitating decentralized, transparent, and impenetrable medical data management, blockchain improves data security. B

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Warner, Jeffrey, and Catherine Rush. "Tropical fever in remote tropics: tuberculosis or melioidosis, it depends on the lab." Microbiology Australia 42, no. 4 (2021): 173. http://dx.doi.org/10.1071/ma21049.

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Diagnostics tests used to identify the cause of infection using proteomics and genomics have revolutionised microbiology laboratories in recent times. However, approaches to build the capacity of clinical microbiology services in the rural tropics by simply transplanting these approaches have proven difficult to sustain. Tropical fever in the remote tropics is, by definition, a clinical diagnosis where the aetiology of fever is not known, treatment is empirical, guided by clinical suspicion with treatment failure often attributed to incorrect diagnosis or antimicrobial resistance. Tuberculosis

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Miss. Isha Anand Bhagat, Miss. Komal Gajanan Wankhede, Mr. Navoday Atul Kopawar, and Prof. Dipali A. Sananse. "Artificial Intelligence in Healthcare : A Review." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 4 (2024): 133–38. http://dx.doi.org/10.32628/ijsrset24114107.

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Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatments and streamlining administrative tasks through advanced algorithms and machine learning. This review examines AI’s impact across various areas, including medical imaging, diagnostics, personalized medicine, drug discovery, patient monitoring, and surgical procedures. AI’s capacity to analyze complex medical data improves clinical decision-making, predicts patient outcomes, and optimizes hospital operations. AI offers significant benefits, including reduced diagnostic errors and

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Sindhu, Rakesh K., Agnieszka Najda, Prabhjot Kaur, et al. "Potentiality of Nanoenzymes for Cancer Treatment and Other Diseases: Current Status and Future Challenges." Materials 14, no. 20 (2021): 5965. http://dx.doi.org/10.3390/ma14205965.

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Studies from past years have observed various enzymes that are artificial, which are issued to mimic naturally occurring enzymes based on their function and structure. The nanozymes possess nanomaterials that resemble natural enzymes and are considered an innovative class. This innovative class has achieved a brilliant response from various developments and researchers owing to this unique property. In this regard, numerous nanomaterials are inspected as natural enzyme mimics for multiple types of applications, such as imaging, water treatment, therapeutics, and sensing. Nanozymes have nanomat

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Riabykina, Galina V., Nelli A. Vishniakova, and Valentina S. Fedorova. "The efficiency of two-level electrovectorcardiographic diagnostics of left ventricular hypertrophy in the medical examination of urban and rural population." Systemic Hypertension 18, no. 4 (2021): 175–79. http://dx.doi.org/10.26442/2075082x.2021.4.201096.

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Background. The incidence of arterial hypertension continues to grow. By 2025 the number of patients will increase to 1.5 billion that makes it necessary to develop and implement effective approaches in the diagnosis and treatment of hypertension in practical health care. Aim. Evaluate the effectiveness of two-level diagnostics of left ventricular hypertrophy (LVH). Materials and methods. The distance of the first level of LVH diagnostics in outpatient departments with a territorial is more than 20 km. It was performed by remote electrocardiography, including medical examination of

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Marushko, Y. V., O. V. Khomych, T. V. Hyshchak, O. L. Tarynska, and G. O. Shchegel. "STATE OF THE ART USAGE OF RADIOLOGICAL AND ACOUSTIC METHODS FOR THE DIAGNOSIS OF PNEUMONIA, INCLUDING THOSE CAUSED BY SARS-COV-2 VIRUS, IN CHILDREN. Review." Medical Science of Ukraine (MSU) 17, no. 2 (2021): 114–24. http://dx.doi.org/10.32345/2664-4738.2.2021.16.

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Relevance. Pneumonia is an actual problem of practical medicine. Diagnosis of pneumonia is quite complex and requires a comprehensive study, taking into account both clinical symptoms and the results of paraclinical research methods. Objective. The aim of the work is to generalize the data of the literature and our own experience of modern radiological and acoustic methods of pneumonia diagnosis. Methods. Analysis of scientific publications in the international electronic scientometric databases Scopus, PubMed by keywords. Search depth – 15 years (2007-2021). Results. The art

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Bubeev, Yu A., L. D. Syrkin, A. V. Polyakov, V. M. Usov, A. A. Karpov, and A. V. Ivanov. "PRACTICE OF TELECONSULTATION FOR EVALUATION OF PERSONAL ADAPTATION POTENTIAL AND DETECTION OF INDICATIONS FOR PROVIDING QUALIFIED PSYCHOLOGICAL SERVICES TO EMPLOYEES IN REMOTE REGIONS OF RUSSIA." Aerospace and Environmental Medicine 58, no. 1 (2024): 5–16. http://dx.doi.org/10.21687/0233-528x-2024-58-1-5-16.

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Psychological teleconsultations (PTCs) to people in remote regions of Russian are discussed in terms of current views, methods and procedures applied to evaluate the adaptation potential of patients with mental health disorders. Early detection of the risks to mental health of employees is based on awareness of criticality of the adaptation potential and mental adaptability for successful overcoming the hardships of psychosocial adaptation. High-quality PTCs enable recognition of emotional reactions and feedback about patient's mental condition. Analysis of the PTCs services provided during ac

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Gorpynchenko, Ihor, and Volodymyr Spyrydonenko. "Modern Approaches to Examination of Andrological and Sexological Patients During Covid-pandemia." Health of Man, no. 3 (September 30, 2021): 8–14. http://dx.doi.org/10.30841/2307-5090.3.2021.246205.

Full text

Abstract:

Rapid increase in the overall incidence of pathologies of the reproductive and genitourinary systems in the conditions of a covid epidemic is predictable and requires certain medical and social steps (the formation of a preventive direction of treatment, the restoration of dispensary observation measures, the introduction of social health programs, the ability of citizens to receive qualified and timely specialized medical care etc.). The global spread of the SARS-CoV-2 coronavirus has led to a restriction in the provision of specialized urological care at the time of lockdown, which also nega

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Sawant, Devika. "AI in Medical." International Journal for Research in Applied Science and Engineering Technology, no. 6 (June 30, 2024): 168–75. http://dx.doi.org/10.22214/ijraset.2024.63010.

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Abstract: Artificial Intelligence (AI) stands as a transformative influence in the realm of medicine, poised to reshape healthcare delivery and elevate patient outcomes. This summary offers an overview of AI's impact on medical applications, with key technologies such as machine learning, natural language processing, and computer vision playing pivotal roles across various healthcare domains, from diagnostics to treatment planning and patientcare. A notable stride in this evolution is the integration of AI-driven telemedicine solutions, effectively expanding access to healthcare services, part

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Haviskar, .A. R., Mallikarjun.M, and Manoj S. "The Internet of Things in Healthcare." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2024): 2170–75. https://doi.org/10.5281/zenodo.14325073.

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The Internet of Things (IoT) has emerged as a transformative technology in healthcare, revolutionizing patient care, diagnostics, and treatment processes. By connecting medical devices, sensors, and healthcare systems to the internet, IoT enables real-time monitoring, data analysis, and remote access to patient information. This innovation significantly enhances the efficiency and accuracy of healthcare services, improves patient outcomes, and reduces healthcare costs. IOT applications in healthcare cover a wide spectrum, from wearable devices that monitor vital signs to remote patient monitor

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Rani, Seema, Sajad Ahmad Malik, and Saytam kumar. "The Use of Artificial Intelligence in Medical Technology." Middle East Journal of Applied Science & Technology 08, no. 02 (2025): 01–06. https://doi.org/10.46431/mejast.2025.8201.

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Artificial Intelligence (AI) is transforming the landscape of medical technology by offering innovative solutions for diagnostics, treatment, patient care, and administrative tasks. This paper explores the multifaceted roles of AI in healthcare, its current applications, benefits, limitations, and future directions. We provide an overview of machine learning, natural language processing, computer vision, and robotics as they relate to medical technology, emphasizing real-world implementations and their impact on clinical outcomes. Artificial Intelligence (AI) is changing the face of modern hea

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Lazoryshynets, Vasyl V., Rostyslav M. Vitovskyi, Mykola L. Rudenko, Natalia O. Ioffe, and Andrii R. Vitovskyi. "Flechette Wounds of the Heart: Clinical Manifestations, Diagnostics, and Surgical Treatment." Ukrainian Journal of Cardiovascular Surgery 31, no. 4 (2023): 100–105. http://dx.doi.org/10.30702/ujcvs/23.31(04)/lv069-100105.

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Each case of fragment injury to the heart is unique and requires careful diagnosis and surgical intervention. In some cases, the diagnosis of fragment injury to the heart and mediastinum is delayed. This is due to the fact that some penetrating and non-penetrating injuries to the heart may go unnoticed, due to the poor clinical presentation and the absence of significant damage to the chest, which may not be noticed on examination. The aim. To present a case of a flechette wound of the heart and to explore the peculiarities of clinical manifestations, diagnostic findings of instrumental

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Gumenyuk, S. A., S. S. Aleksanin, A. M. Schikota, V. I. Yarema, and I. V. Pogonchenkova. "Diagnostic ultrasound examinations during evacuation of urgent patients by ambulance helicopters: literature review." Medicо-Biological and Socio-Psychological Problems of Safety in Emergency Situations, no. 2 (August 3, 2022): 42–51. http://dx.doi.org/10.25016/2541-7487-2022-0-2-42-51.

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Relevance. The use of ultrasound diagnostics at the place of providing medical care to an urgent patient is one of the promising directions in the development of emergency medicine. At the same time, of particular interest is the possibility of using diagnostic ultrasound in an ambulance helicopter, given the lack of clear algorithms and standards for its application, as well as the limited number of publications on this problem.Intention. Analysis of publications on the use of urgent ultrasound examination in an ambulance helicopter.Methodology. A search was made for scientific publications o

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Ansokova, Maryana A., Ivan A. Rozanov, and Larisa A. Marchenkova. "Advanced Application of Digital Technologies for Rehabilitation and Remote Monitoring of Patients with Post-Covid Syndrom: a Review." Bulletin of Rehabilitation Medicine 22, no. 1 (2023): 117–23. http://dx.doi.org/10.38025/2078-1962-2023-22-1-117-123.

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AIM. To describe modern technologies for telerehabilitation and remote monitoring of the condition of patients who have undergone a new coronavirus infection COVID-19, and to show the experience of the National Medical Research Center for Rehabilitation and Balneology of the in the clinical testing and development of these technologies. MATERIAL AND METHODS. A consistent analysis of 39 modern sources of scientific literature (including systematic reviews and original researches), selected by the keywords of this article and including the most up-to-date publications in rating peer-reviewed jou

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Umar, Abbas B., Saifuddeen K. Sani, Lukman J. Aliyu, et al. "Enhancing primary healthcare delivery in Nigeria through the adoption of advanced technologies." Narra X 2, no. 3 (2024): e180. https://doi.org/10.52225/narrax.v2i3.180.

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Enhancing primary healthcare delivery in Nigeria by adopting advanced technologies holds substantial promise for improving healthcare accessibility, quality, and efficiency. Primary healthcare focuses on community-based, essential care that is practical, socially acceptable, and affordable. Despite efforts to improve healthcare delivery, challenges persist, particularly in rural and underserved areas. The aim of this study was to explore the transformative potential of technologies such as telemedicine, Electronic Health Records (EHRs), Health Information Systems (HIS), Artificial Intelligence

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Kallam, Suresh, Prasun Chakrabarti, Bui Thanh Hung, and Siva Shankar S. "Remote Health Monitoring IoT Framework using Machine Learning Prediction and Advanced Artificial Intelligence (AI) Model." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5 (2023): 42–47. http://dx.doi.org/10.17762/ijritcc.v11i5.6523.

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Real intervention and treatment standards drew attention to remote health monitoring frameworks. Remote monitoring frameworks for disease detection at an early stage are opposed by most conventional works. Even so, it ran into issues like increased operational complexity, higher resource costs, inaccurate predictions, longer data collection times, and a lower convergence rate. A remote health monitoring framework that uses artificial intelligence (AI) to predict heart disease and diabetes from medical datasets is the goal of this project. Patients' health data is collected via smart devices, a

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Anikin, Nikita, Anastasiia Dik, Diana Yambrovskaya, Ksenia Mikhaylova, Taras Markvashev, and Elena Petrenko. "The Role of Interactive Technologies in Optimizing the Process of Patient Treatment: Prospects and Challenges for Health Care." Journal of Complementary Medicine Research 14, no. 3 (2023): 106. http://dx.doi.org/10.5455/jcmr.2023.14.03.19.

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The introduction of medical digital technologies can provide better access and flexibility of healthcare for the population. It includes the availability of open information about health, treatment, complications, and recent progress in biomedical research. Nowadays, even in low-income countries, diagnostic and medical services are becoming more accessible. However, many issues related to digital health technologies remain unresolved, including reliability, security, testing, and ethical issues.The penetration of AI currently affects almost all areas of work of medical organizations and govern

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Vizel, A. A., S. N. Avdeev, S. G. Lebedev, I. Yu Vizel, and L. A. Vizel. "In search of digital approaches and application of artificial intelligence in the study, diagnosis, and treatment of sarcoidosis." Meditsinskiy sovet = Medical Council, no. 9 (June 22, 2025): 57–68. https://doi.org/10.21518/ms2025-040.

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Digitalization of healthcare is becoming an integral part of providing medical care to the population. The introduction of artificial intelligence (AI) in medicine leads to the formation of “digital thinking” and public trust in digital healthcare. The purpose of this literature review was to summarize the data related to AI in general and to the study of sarcoidosis – a multiorgan granulomatosis of unknown origin. The most widely represented works are on image recognition, which use different approaches. In pulmonology, this is work with fluorograms, radiographs and computed tomograms. At the

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Solomatina, T. V., N. A. Chernova, S. A. Pershina, Ye E. Engel, and L. V. Kapilevich. "Organization of field medical aid for the population of northern areas of Tomsk region." Bulletin of Siberian Medicine 3, no. 4 (2004): 63–66. http://dx.doi.org/10.20538/1682-0363-2004-4-63-66.

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Field medical aid is most effective in providing the population of northern areas of Tomsk region with qualitative and accessible medical services. Development of such organization form is the most perspective way of health protection system perfection in the region. The most results will be achieved while providing the interaction and coordination of the activity of territorial treatment-and-diagnostic institutions and field medical teams. The field forms of aid should complete the activity of regional hospitals, provide the accessibility of medical services in remote areas and equalize the q

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Usmonov, Saidjon Abdusubxon o'g'li, Shahrizoda Mahamadsidiq qizi Mamasodiqova, and Mohlaroy Abdumalik qizi Ortiqova. "BIOPHYSICAL PROPERTIES OF RAILWAY." Eurasian Journal of Academic Research 1, no. 2 (2021): 888–91. https://doi.org/10.5281/zenodo.4898901.

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<em>Medical technology is evolving rapidly, and diagnostics and treatment using ultrasound, X-rays, electric and magnetic fields are being carried out on a large scale. Of course, the discovery of such methods made a huge turn in medicine. But when it comes to human health, it is necessary to use methods with a minimum level of safety in restoring and maintaining their health. If we can perform these tasks using the biophysical properties of the pulse, we will have a more convenient, affordable, effective and reasonable solution for patients. One of the conveniences is a room with special cond

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Sankar, Lakkakula Jaya. "Detecting and Diagnosing Brain Tumors Using ML." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1063–66. https://doi.org/10.22214/ijraset.2025.68451.

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Brain tumors are among the most severe and life-threatening medical conditions, often leading to significant morbidity and mortality if not detected and treated promptly. Early and accurate diagnosis plays a crucial role in improving patient outcomes and survival rates. Traditionally, the detection of brain tumors relies on the manual analysis of Magnetic Resonance Imaging (MRI) scans by radiologists. While effective, this process is inherently time-consuming and subject to variability in interpretation due to human fatigue or inexperience, potentially leading to diagnostic delays or errors. T

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Bhaskar, M. Vijaya. "A Novel Approach to Brain Tumor Detecting and Diagnosing Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2246–49. https://doi.org/10.22214/ijraset.2025.68718.

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Brain tumors are among the most severe and life-threatening medical conditions, often leading to significant morbidity and mortality if not detected and treated promptly. Early and accurate diagnosis plays a crucial role in improving patient outcomes and survival rates. Traditionally, the detection of brain tumors relies on the manual analysis of Magnetic Resonance Imaging (MRI) scans by radiologists. While effective, this process is inherently time-consuming and subject to variability in interpretation due to human fatigue or inexperience, potentially leading to diagnostic delays or errors. T

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Razvin, Serhii. "STATE REGULATION OF HEALTH CARE SPHERE." Visnyk Universytetu “Ukraina”, no. 10(37) (2024): 109–22. http://dx.doi.org/10.36994/2707-4110-2024-10-37-10.

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The article conducted a comprehensive analysis of the current state of state regulation of the health care system in Ukraine, including reforming the financial system and the development of primary care. The main directions of state regulation are outlined, strategic priorities and prospects for further development are determined. Particular attention is paid to innovative approaches and the use of international experience in order to improve the quality of health care and to ensure the availability of medical services to all categories of the population. The need to focus on improving the ava

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Karas, S. I., M. B. Arzhanik, E. V. Grakova, and M. V. Balakhonova. "Formation and assessment of medical competencies on a virtual model of the treatment and diagnostic process in cardiology." Siberian Journal of Clinical and Experimental Medicine 38, no. 2 (2023): 311–21. http://dx.doi.org/10.29001/2073-8552-2023-38-2-311-321.

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Background. It is the competence of making diagnostic and therapeutic decisions that is the most important in clinical practice. Digital model of treatment and diagnostic process (TDP) allows provide the remote formation of skills for decision-making.Aim: To provide the methodological support of remote formation of competences, to improve and assess the skills of medical decision-making in cardiology.Methods. Clinical and diagnostic information from different sources was the material for creating virtual models of TDP. Skilled cardiologists were involved to develop technical specification; kno

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Gaikwad, Pratibhahanmantrao, and Dhiren Pranshankar Dave. "Remote Sensing with Internet Based Patient Condition Observing System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 629. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp629-632.

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<p>This Paper aims to design and demonstrate an innovative web-based remote healthcare diagnostic system that provides vital medical data and live video images of a patient situated in the rural area accessible to a health professional available elsewhere in urban centres resulting in better diagnosis and treatment of that patient.</p>

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Forkuo, Adelaide Yeboah, Ernest Chinonso Chianumba, Ashiata Yetunde Mustapha, Damilola Osamika, and Leesi Saturday Komi. "Advances in digital diagnostics and virtual care platforms for primary healthcare delivery in West Africa." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 1 (2022): 1034–47. https://doi.org/10.54660/.ijmrge.2022.3.1.1034-1047.

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The integration of digital diagnostics and virtual care platforms into primary healthcare systems represents a transformative advancement in healthcare delivery, particularly within low- and middle-income regions such as West Africa. This paper explores the rapid evolution and application of these technologies in enhancing access, efficiency, and quality of care across diverse communities in the subregion. With persistent challenges including limited healthcare infrastructure, shortage of skilled medical professionals, and high disease burden, digital health innovations are emerging as vital t

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Malay Sarkar, Raktim Dey, and Md Tuhin Mia. "Artificial Intelligence in telemedicine and remote patient monitoring: Enhancing virtual healthcare through AI-driven diagnostic and predictive technologies." International Journal of Science and Research Archive 15, no. 2 (2025): 1046–55. https://doi.org/10.30574/ijsra.2025.15.2.1402.

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The integration of Artificial Intelligence (AI) in telemedicine and remote patient monitoring has significantly transformed modern healthcare by enhancing accessibility, efficiency, and diagnostic precision. AI-powered technologies, including machine learning algorithms, predictive analytics, and natural language processing, have facilitated real-time health monitoring, early disease detection, and personalized treatment recommendations. The incorporation of AI-driven chatbot and virtual assistants has streamlined remote consultations, enabling healthcare professionals to manage patient inquir

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