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Journal articles on the topic 'Software-Driven medical technologies'

Author: Grafiati

Published: 2 November 2024

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1

Sherif, Suheib, Wooi Haw Tan, Chee Pun Ooi, Abubaker Sherif, and Sarina Mansor. "LoRa driven medical adherence system." Bulletin of Electrical Engineering and Informatics 9, no. 6 (2020): 2294–301. http://dx.doi.org/10.11591/eei.v9i6.2195.

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Recent discovered technologies have exposed many new theories and possibilities to improve our standard of living. Medical assistance has been a major research topic in the past, many efforts were put in to simplify the process of following treatment prescriptions. This paper summarizes the work done in developing LoRa driven medical adherence system in order to improve medicine adherence for elderlies. The designed system is composed of two sections; embedded hardware device for the use of patients at home and Web application to manage all patients along with their medicines and keep track of

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Amaral, Carolina, Maria Paiva, Ana Rita Rodrigues, Francisco Veiga, and Victoria Bell. "Global Regulatory Challenges for Medical Devices: Impact on Innovation and Market Access." Applied Sciences 14, no. 20 (2024): 9304. http://dx.doi.org/10.3390/app14209304.

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Medical devices play a crucial role in human health. These are instruments, machines or even software programs used to diagnose, treat, monitor or prevent health conditions. They are designed to help improve patients’ quality of life and range from simple items, such as thermometers, to more advanced technologies, such as pacemakers. In order to guarantee the safety and efficacy of medical devices intended for use on patients, the establishment of appropriate regulatory frameworks is crucial to ascertain whether devices function as intended, comply with safety standards and offer benefits that

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Mani Padmanabhan, Et al. "Topological Data Analysis for Software Test Cases Generation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2046–53. http://dx.doi.org/10.17762/ijritcc.v11i9.9203.

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The escalating development of digital technologies over the last several decades has given rise to an accompanying surge in data analysis.The software based smart applications increase the importance of behaviour analysis. Software testing of expert systems such as electronic health records, health information system and software as a medical device (SaMD) refers to detect the difference between expected behaviour and actual outcome during healthcare expert systems development. Test cases are the core source of effective software testing. Test cases generation for expert systems are discover c

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Kricka, Larry J. "History of disruptions in laboratory medicine: what have we learned from predictions?" Clinical Chemistry and Laboratory Medicine (CCLM) 57, no. 3 (2019): 308–11. http://dx.doi.org/10.1515/cclm-2018-0518.

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Abstract Predictions about the future of laboratory medicine have had a mixed success, and in some instances they have been overambitious and incorrectly assessed the future impact of emerging technologies. Current predictions suggest a more highly automated and connected future for diagnostic testing. The central laboratory of the future may be dominated by more robotics and more connectivity in order to take advantage of the benefits of the Internet of Things and artificial intelligence (AI)-based systems (e.g. decision support software and imaging analytics). For point-of-care testing, mobi

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Parak, Roman, and Martin Juricek. "Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm." MENDEL 28, no. 1 (2022): 32–40. http://dx.doi.org/10.13164/mendel.2022.1.032.

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Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of

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Chmielewski, Mariusz, Damian Frąszczak, and Dawid Bugajewski. "Architectural concepts for managing biomedical sensor data utilised for medical diagnosis and patient remote care." MATEC Web of Conferences 210 (2018): 05016. http://dx.doi.org/10.1051/matecconf/201821005016.

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This paper discusses experiences and architectural concepts developed and tested aimed at acquisition and processing of biomedical data in large scale system for elderly (patients) monitoring. Major assumptions for the research included utilisation of wearable and mobile technologies, supporting maximum number of inertial and biomedical data to support decision algorithms. Although medical diagnostics and decision algorithms have not been the main aim of the research, this preliminary phase was crucial to test capabilities of existing off-the-shelf technologies and functional responsibilities

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Apanisile, Temitope, and Joshua Ayobami Ayeni. "Development of an Extended Medical Diagnostic System for Typhoid and Malaria Fever." Artificial Intelligence Advances 5, no. 1 (2023): 28–40. http://dx.doi.org/10.30564/aia.v5i1.5505.

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In developing countries like Nigeria, malaria and typhoid fever are major health challenges in society today. The symptoms vary and can lead to other illnesses in the body which include prolonged fever, fatigue, nausea, headaches, and the risk of contracting infection occurring concurrently if not properly diagnosed and treated. There is a strong need for cost-effective technologies to manage disease processes and reduce morbidity and mortality in developing countries. Some of the challenging issues confronting healthcare are lack of proper processing of data and delay in the dissemination of

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Mazumder, Engr Rajib, Muhammad Anwar Hossain, and Dr Aparna Chakraborty. "Smart Defense: How Self-Learning AI Can Shield Bangladeshi Medical Records." International Journal of Scientific Research and Management (IJSRM) 12, no. 05 (2024): 1174–80. http://dx.doi.org/10.18535/ijsrm/v12i05.ec02.

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The digitalization of healthcare records in Bangladesh presents both opportunities and challenges, particularly concerning the security and protection of sensitive patient information. As electronic health records (EHRs) become increasingly prevalent, the threat of cyberattacks targeting medical data escalates, necessitating innovative solutions to fortify the country's healthcare cybersecurity infrastructure. This paper investigates the efficacy of self-learning artificial intelligence (AI) systems in safeguarding Bangladeshi medical records against cyber threats. The traditional methods of s

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Venudhar Rao Hajari, Abhip Dilip Chawda, Dr. Punit Goel, A Renuka, and Lagan Goel. "Embedded Systems Design for High-Performance Medical Applications." Journal of Quantum Science and Technology 1, no. 2 (2024): 70–84. http://dx.doi.org/10.36676/jqst.v1.i3.28.

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Advancements in patient care and diagnostic accuracy have been driven by the emergence of embedded systems, which has had a dramatic influence on the design and implementation of high-performance medical applications. This abstract explores the fundamental features of embedded system design that are specifically designed for medical applications. Particular attention is paid to the optimization of performance, the dependability of the system, and its integration within demanding healthcare contexts. When it comes to real-time processing, precision, and safety, embedded systems in medical devic

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Ruiu, Pietro, Michele Nitti, Virginia Pilloni, Marinella Cadoni, Enrico Grosso, and Mauro Fadda. "Metaverse & Human Digital Twin: Digital Identity, Biometrics, and Privacy in the Future Virtual Worlds." Multimodal Technologies and Interaction 8, no. 6 (2024): 48. http://dx.doi.org/10.3390/mti8060048.

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Driven by technological advances in various fields (AI, 5G, VR, IoT, etc.) together with the emergence of digital twins technologies (HDT, HAL, BIM, etc.), the Metaverse has attracted growing attention from scientific and industrial communities. This interest is due to its potential impact on people lives in different sectors such as education or medicine. Specific solutions can also increase inclusiveness of people with disabilities that are an impediment to a fulfilled life. However, security and privacy concerns remain the main obstacles to its development. Particularly, the data involved i

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Izonin, Ivan, and Nataliya Shakhovska. "Special issue: Informatics & data-driven medicine." Mathematical Biosciences and Engineering 18, no. 5 (2021): 6430–33. http://dx.doi.org/10.3934/mbe.2021319.

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<abstract> <p>The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimental studies by clinicians, and were recorded on paper or in small electronic files. The advances in computer power development, hardware and software tools and consequently design an emergence of miniature smart devices for various purposes (flexible electronic devices, medical tattoos, stick-on sensors, biochips etc.) can

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Cavaleiro de Ferreira, Beatriz, Tiago Coutinho, Miguel Ayala Botto, and Susana Cardoso. "Development of an Inkjet Setup for Printing and Monitoring Microdroplets." Micromachines 13, no. 11 (2022): 1878. http://dx.doi.org/10.3390/mi13111878.

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Inkjet printing is a digitally controlled additive technology that allows the precise deposition of droplets. Because it is additive, it enables geometries usually unattainable by other technologies. Because it is digitally controlled, its output is easily modulated, even during operation. Combined with the development of functional materials and their micrometer precision, it can be applicable in a wide range of fields beyond the traditional graphic industry, such as medical diagnosis, electronics manufacturing, and the fabrication of microlenses. In this work, a solution based on open-source

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Kalabina, Elena G., Ekaterina A. Esina, and Svetlana N. Smirnykh. "Prototyping digitalization models of regional healthcare systems." Herald of Omsk University. Series: Economics 22, no. 2 (2024): 105–15. http://dx.doi.org/10.24147/1812-3988.2024.22(2).105-115.

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To achieve the strategic goals of digital transformation, it is necessary to consider the digital maturity of organizations, industries, and regions. The initial level and potential for digitalization of different industries, regions, and organizations vary significantly. Recent global macroeconomic and social shocks have driven the development of digital services, technologies, and platforms in healthcare. These changes have led to a transformation in the operating models of public and private medical organizations. However, there are negative consequences to these changes, including a decrea

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Csáki, Csilla. "Social Sustainability in Medicine: The Role of Artificial Intelligence in Future Doctor–Patient Communication. A Methodological Experiment." Acta Universitatis Sapientiae, Communicatio 9, no. 1 (2022): 90–107. http://dx.doi.org/10.2478/auscom-2022-0007.

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Abstract Social sustainability is a development alternative that focuses on preserving and sustaining opportunities and resources for future generations rather than exploiting them. In addition to resource management, it is important to emphasize the focus on human well-being, in which the provision of a healthy life is a key factor. One possible alternative to improve the quality, safety, and affordability of universal healthcare is to integrate artificial intelligence into the health system. The development of AI in healthcare has brought a paradigm shift, as big-data-driven analytics can en

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Zimmerman, William Denney, Melissa B. Pergakis, Emily F. Gorman, et al. "Scoping Review: Innovations in Clinical Neurology Education." Neurology: Education 2, no. 1 (2023): e200048. http://dx.doi.org/10.1212/ne9.0000000000200048.

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Advances in adult learning theory and instructional technologies provide opportunities to improve neurology knowledge acquisition. This scoping review aimed to survey the emerging landscape of educational innovation in clinical neurology. With the assistance of a research librarian, we conducted a literature search on November 4, 2021, using the following databases: PubMed, Embase, Scopus, Cochrane Library, Education Resources Information Center, and PsycINFO. We included studies of innovative teaching methods for medical students through attending physician-level learners and excluded interve

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Prasser, Fabian, Oliver Kohlbacher, Ulrich Mansmann, Bernhard Bauer, and Klaus Kuhn. "Data Integration for Future Medicine (DIFUTURE)." Methods of Information in Medicine 57, S 01 (2018): e57-e65. http://dx.doi.org/10.3414/me17-02-0022.

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Summary Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Future medicine will be predictive, preventive, personalized, participatory and digital. Data and knowledge at comprehensive depth and breadth need to be available for research and at the point of care as a basis for targeted diagnosis and therapy. Data integration and data sharing will be essential to achieve these goals. For this purpose, the consortium Data Integration for Future Medicine (DIFUTURE) will establish Data Integration Centers (DICs) a

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Fontana, Filippo, Christoph Klahn, and Mirko Meboldt. "Value-driven clustering of industrial additive manufacturing applications." Journal of Manufacturing Technology Management 30, no. 2 (2019): 366–90. http://dx.doi.org/10.1108/jmtm-06-2018-0167.

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Purpose A prerequisite for the successful adoption of additive manufacturing (AM) technologies in industry is the identification of areas, where such technologies could offer a clear competitive advantage. The purpose of this paper is to investigate the unique value-adding characteristics of AM, define areas of viable application in a firm value chain and discuss common implications of AM adoption for companies and their processes. Design/methodology/approach The research leverages a multi-case-study approach and considers interviews with AM adopting companies from the Swiss and central Europe

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Maté, Alejandro, Jesús Peral, Juan Trujillo, Carlos Blanco, Diego García-Saiz, and Eduardo Fernández-Medina. "Improving security in NoSQL document databases through model-driven modernization." Knowledge and Information Systems 63, no. 8 (2021): 2209–30. http://dx.doi.org/10.1007/s10115-021-01589-x.

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AbstractNoSQL technologies have become a common component in many information systems and software applications. These technologies are focused on performance, enabling scalable processing of large volumes of structured and unstructured data. Unfortunately, most developments over NoSQL technologies consider security as an afterthought, putting at risk personal data of individuals and potentially causing severe economic loses as well as reputation crisis. In order to avoid these situations, companies require an approach that introduces security mechanisms into their systems without scrapping al

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Sapci, A. Hasan, and H. Aylin Sapci. "Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review." JMIR Aging 2, no. 2 (2019): e15429. http://dx.doi.org/10.2196/15429.

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Background The increase in life expectancy and recent advancements in technology and medical science have changed the way we deliver health services to the aging societies. Evidence suggests that home telemonitoring can significantly decrease the number of readmissions, and continuous monitoring of older adults’ daily activities and health-related issues might prevent medical emergencies. Objective The primary objective of this review was to identify advances in assistive technology devices for seniors and aging-in-place technology and to determine the level of evidence for research on remote

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Baldassarre, Maria Teresa, Danilo Caivano, Simone Romano, Francesco Cagnetta, Victor Fernandez-Cervantes, and Eleni Stroulia. "PhyDSLK: a model-driven framework for generating exergames." Multimedia Tools and Applications 80, no. 18 (2021): 27947–71. http://dx.doi.org/10.1007/s11042-021-10980-3.

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AbstractIn recent years, we have been witnessing a rapid increase of research on exergames—i.e., computer games that require users to move during gameplay as a form of physical activity and rehabilitation. Properly balancing the need to develop an effective exercise activity with the requirements for a smooth interaction with the software system and an engaging game experience is a challenge. Model-driven software engineering enables the fast prototyping of multiple system variants, which can be very useful for exergame development. In this paper, we propose a framework, PhyDSLK, which eases t

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Richardson, Diana Olivia, and Thomas Oliver Kellerton. "Relationship between analytics and innovation in software based firms in Europe." Business & IT XII, no. 1 (2022): 125–33. http://dx.doi.org/10.14311/bit.2022.01.15.

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Purpose: Data availability has resulted in an incredible increase due to the widespread adoption of electronic technologies. Companies are coping with huge amount of information which is awaiting to be exploited. Meanwhile, scholars are providing different methods and techniques to help companies capture the to be able to encourage innovation and improve the efficiency of existing processes, they've embedded value In their data. The data is a byproduct of these researches. Methodology / design Based on three instances used as illustrations for new ideas, the research relies on an exploratory m

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Cordeiro, Natália, Gil Facina, Afonso Nazário, et al. "Abstract PO2-29-02: Towards Precision Medicine in Breast Imaging: A Novel Open Mammography Database with Tailor-Made 3D Image Retrieval for Artificial Intelligence and Teaching." Cancer Research 84, no. 9_Supplement (2024): PO2–29–02—PO2–29–02. http://dx.doi.org/10.1158/1538-7445.sabcs23-po2-29-02.

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Abstract Objectives: According to the World Health Organization (WHO), breast cancer is the most frequent malignant neoplasia and leading cause of cancer death among women worldwide. Low- and middle-income countries hold the worst survival rates mainly owing to a lack of access to appropriate diagnosis and treatment related resources. For proper early diagnosis, it is established that besides the physical structure itself (e.g., mammography units), there's a need for adequate interpretation of imaging and that might be a particularly major problem in low-income societies once there is a tenden

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Hnatchuk, Yelyzaveta, Tetiana Hovorushchenko, and Olga Pavlova. "Methodology for the development and application of clinical decisions support information technologies with consideration of civil-legal grounds." Radioelectronic and Computer Systems, no. 1 (March 7, 2023): 33–44. http://dx.doi.org/10.32620/reks.2023.1.03.

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Currently, there are no clinical decision support information technologies (CDSIT) that would consider civil-legal grounds when forming a decision for clinicians. Therefore, the design, development, and implementation of CDSIT, which considers civil-legal grounds when forming decisions, are actual problems. Methodology for the development and application of knowledge-driven, rule-based, clinical decisions support information technologies with consideration of civil-legal grounds has been developed, which provides a theoretical basis for developing clinical decisions support information technol

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Mamta Kale, Et al. "Telemedicine Revolution: Bridging Gaps in Access to Healthcare." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 394–99. http://dx.doi.org/10.17762/ijritcc.v11i7.9424.

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A rapidly developing area of contemporary healthcare called telemedicine uses digital technologies to provide distant medical treatments. This overview examines the complex field of telemedicine, covering its history, effects on patient outcomes, access to healthcare, problems, and potential future developments. The rapid expansion of telemedicine, driven by technical improvements, is seen in its current vast repertory of services, which includes tele-diagnosis, tele-surgery, and tele-rehabilitation, from its early beginnings of allowing remote consultations. These developments—which hav

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Wu, Meijie, Xuefeng Huang, Baona Jiang, Zhihong Li, Yuanyuan Zhang, and Bo Gao. "AI in medical education: the moderating role of the chilling effect and STARA awareness." BMC Medical Education 24, no. 1 (2024). http://dx.doi.org/10.1186/s12909-024-05627-4.

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Abstract Background The rapid growth of artificial intelligence (AI) technologies has been driven by the latest advances in computing power. Although, there exists a dearth of research on the application of AI in medical education. Methods this study is based on the TAM-ISSM-UTAUT model and introduces STARA awareness and chilling effect as moderating variables. A total of 657 valid questionnaires were collected from students of a medical university in Dalian, China, and data were statistically described using SPSS version 26, Amos 3.0 software was used to validate the research model, as well a

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Armeni, Patrizio, Irem Polat, Leonardo Maria De Rossi, Lorenzo Diaferia, Severino Meregalli, and Anna Gatti. "Exploring the potential of digital therapeutics: An assessment of progress and promise." DIGITAL HEALTH 10 (January 2024). http://dx.doi.org/10.1177/20552076241277441.

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Digital therapeutics (DTx), a burgeoning subset of digital health solutions, has garnered considerable attention in recent times. These cutting-edge therapeutic interventions employ diverse technologies, powered by software algorithms, to treat, manage, and prevent a wide array of diseases and disorders. Although DTx shows significant promise as an integral component of medical care, its widespread integration is still in the preliminary stages. This limited adoption can be largely attributed to the scarcity of comprehensive research that delves into DTx's scope, including its technological un

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Chai, Slyvester Yew Wang, Frederick Jit Fook Phang, Lip Siang Yeo, Lock Hei Ngu, and Bing Shen How. "Future era of techno-economic analysis: Insights from review." Frontiers in Sustainability 3 (August 10, 2022). http://dx.doi.org/10.3389/frsus.2022.924047.

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Techno-economic analysis (TEA) has been considered an important tool to evaluate the economic performance of industrial processes. Recently, the application of TEA has been observed to have exponential growth due to the increasing competition among businesses across various industries. Thus, this review presents a deliberate overview of TEA to inculcate the importance and relevance of TEA. To further support the aforementioned points, this review article starts with a bibliometric analysis to evaluate the applicability of TEA within the research community. Conventional TEA is widely known to b

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"In-Vivo Microvascular Imaging, a Non-Invasive Diagnostic Method for Oral Surgery and Oral Medicine." Surgical Case Reports and Images, September 5, 2021, 1–3. http://dx.doi.org/10.36879/scri.2021.000102.

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There is a trend in the medical and dental fields to pursue alternative diagnostic and treatment strategies that are less invasive than traditional open surgical methods, while achieving equal, if not better clinical outcomes. Emerging technologies are helping to develop new diagnostic and treatment methods, many centred upon the philosophy of minimal invasive medical procedures bridging the gap between prevention and full formal surgical procedures. In-vivo microvascular imaging is gaining popularity, with increasing recognition of the morphological changes that occur in the superficial mesod

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Seth, Ishith, Aram Cox, Yi Xie, et al. "Evaluating Chatbot Efficacy for Answering Frequently Asked Questions in Plastic Surgery: A ChatGPT Case Study Focused on Breast Augmentation." Aesthetic Surgery Journal, May 9, 2023. http://dx.doi.org/10.1093/asj/sjad140.

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Abstract Background The integration of artificial intelligence (AI) and machine learning (ML) technologies into healthcare is transforming patient-practitioner interaction and could offer an additional platform for patient education and support. Objectives This study investigates whether ChatGPT-4 could provide safe and up-to date medical information about breast augmentation which is comparable to other patient information sources. Methods ChatGPT-4 was asked to generate 6 commonly asked questions regarding breast augmentation and respond to them. Its responses were qualitatively evaluated by

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Naqvi, Waqar M., Habiba Sundus, Gaurav Mishra, Ramprasad Muthukrishnan, and Praveen K. Kandakurti. "AI in Medical Education Curriculum: The Future of Healthcare Learning." European Journal of Therapeutics, January 30, 2024. http://dx.doi.org/10.58600/eurjther1995.

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To address the evolving, quantitative nature of healthcare in the twenty-first century, it is imperative to integrate artificial intelligence (AI) with healthcare education. To bridge this educational gap, it is imperative to impart practical skills for the utilisation and interpretation of AI in healthcare settings, integrate technology into clinical operations, develop AI technologies, and enhance human competencies [1]. The swift rise of AI in contemporary society can be ascribed to the progress of intricate algorithms, cost-effective graphic processors, and huge annotated databases. AI has

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Mykolaienko, V. O. "Code generation for large commercial projects: how commercial development will look like in the future." Connectivity 166, no. 6 (2023). http://dx.doi.org/10.31673/2412-9070.2023.061315.

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In the rapidly evolving landscape of software development, code generation stands at the forefront as a transformative force, especially within the domain of large-scale commercial projects. This paradigm-shifting technique is fundamental to agile adaptation in response to ever-changing business imperatives, all while upholding stringent code quality standards and reducing error rates. The article initiates a discourse by methodically analyzing the current methodologies and tools of code generation, emphasizing their critical importance for development teams. It delves into the complexities th

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Kussel, Tobias, Torben Brenner, Galina Tremper, Josef Schepers, Martin Lablans, and Kay Hamacher. "Record linkage based patient intersection cardinality for rare disease studies using Mainzelliste and secure multi-party computation." Journal of Translational Medicine 20, no. 1 (2022). http://dx.doi.org/10.1186/s12967-022-03671-6.

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Abstract Background The low number of patients suffering from any given rare diseases poses a difficult problem for medical research: With the exception of some specialized biobanks and disease registries, potential study participants’ information are disjoint and distributed over many medical institutions. Whenever some of those facilities are in close proximity, a significant overlap of patients can reasonably be expected, further complicating statistical study feasibility assessments and data gathering. Due to the sensitive nature of medical records and identifying data, data transfer and j

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Leo, Stefano, Abdessalam Cherkaoui, Gesuele Renzi, and Jacques Schrenzel. "Mini Review: Clinical Routine Microbiology in the Era of Automation and Digital Health." Frontiers in Cellular and Infection Microbiology 10 (November 30, 2020). http://dx.doi.org/10.3389/fcimb.2020.582028.

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Clinical microbiology laboratories are the first line to combat and handle infectious diseases and antibiotic resistance, including newly emerging ones. Although most clinical laboratories still rely on conventional methods, a cascade of technological changes, driven by digital imaging and high-throughput sequencing, will revolutionize the management of clinical diagnostics for direct detection of bacteria and swift antimicrobial susceptibility testing. Importantly, such technological advancements occur in the golden age of machine learning where computers are no longer acting passively in dat

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Yang, Julian P., Andre Grujovski, Tim Wright, Tzu-Ching Wu, DaiWai M. Olson, and Brad J. Kolls. "Abstract P147: Telestroke Software Offers Improved and Novel Methods of Studying Physician Decision Making." Circulation 125, suppl_10 (2012). http://dx.doi.org/10.1161/circ.125.suppl_10.ap147.

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Introduction: Data quality in stroke registries is typically dependent upon some form of chart review and manual data abstraction. The retrospective nature of this process is inherently prone to incomplete and inaccurate data collection with limited insight into the process of physician decision making. Hypothesis: New software packages accompanying telestroke systems will dramatically improve the quality of data by automating the abstraction process and providing real-time access to electronic databases. Methods: Telestroke systems provide web-based programs that record various levels of data

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Vyas, Amber, Tanu Bhargava, Surendra Saraf, Vishal Jain, and Darshan Dubey. "A Review on digital medicine and its implications in drug development process." Asian Journal of Pharmacy and Technology, November 22, 2023, 263–69. http://dx.doi.org/10.52711/2231-5713.2023.00047.

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A field known as "digital medicine" is focused with using technology as aid for assessment and involvement in the interest of better public health. Digital medical solutions are built on top-notch technology and software that supports the practice of medicine broadly, including treatment, rehabilitation, illness prevention, and health promotion for individuals and across groups. Digital medical products can be used independently or in conjunction with pharmaceuticals, biologics, devices, and other products to enhance patient care and health outcomes. With the use of smart, easily accessible to

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Wu, Xuesen, Haiyin Deng, Shiyun Jian, et al. "Global trends and hotspots in the digital therapeutics of autism spectrum disorders: a bibliometric analysis from 2002 to 2022." Frontiers in Psychiatry 14 (May 15, 2023). http://dx.doi.org/10.3389/fpsyt.2023.1126404.

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IntroductionAutism spectrum disorder (ASD) is a severe neurodevelopmental disorder that has become a major cause of disability in children. Digital therapeutics (DTx) delivers evidence-based therapeutic interventions to patients that are driven by software to prevent, manage, or treat a medical disorder or disease. This study objectively analyzed the current research status of global DTx in ASD from 2002 to 2022, aiming to explore the current global research status and trends in the field.MethodsThe Web of Science database was searched for articles about DTx in ASD from January 2002 to October

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Zhang, James, Victor Lu, and Vikas Khanduja. "The impact of extended reality on surgery: a scoping review." International Orthopaedics, January 16, 2023. http://dx.doi.org/10.1007/s00264-022-05663-z.

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Abstract Purpose Extended reality (XR) is defined as a spectrum of technologies that range from purely virtual environments to enhanced real-world environments. In the past two decades, XR-assisted surgery has seen an increase in its use and also in research and development. This scoping review aims to map out the historical trends in these technologies and their future prospects, with an emphasis on the reported outcomes and ethical considerations on the use of these technologies. Methods A systematic search of PubMed, Scopus, and Embase for literature related to XR-assisted surgery and teles

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Patel, Shraddha, Miles Stewart, and Martina Siwek. "Building Electronic Disease Surveillance Capacity in the Peruvian Navy with SAGES." Online Journal of Public Health Informatics 11, no. 1 (2019). http://dx.doi.org/10.5210/ojphi.v11i1.9833.

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ObjectiveTo introduce SMS-based data collection into the Peruvian Navy’s public health surveillance system for increased reporting rates and timeliness, particularly from remote areas, as well as improve capabilities for analysis of surveillance data by decision makers.IntroductionIn the past 15 years, public health surveillance has undergone a revolution driven by advances in information technology (IT) with vast improvements in the collection, analysis, visualization, and reporting of health data. Mobile technologies and open source software have played a key role in advancing surveillance t

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Santoro, E., L. Boscherini, and E. G. Caiani. "Digital therapeutics: a systematic review of clinical trials characteristics." European Heart Journal 42, Supplement_1 (2021). http://dx.doi.org/10.1093/eurheartj/ehab724.3115.

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Abstract Introduction Digital therapeutics (DTx) are a subset of digital health tools delivering evidence-based therapeutic interventions that are driven by high quality software programs to prevent, manage, or treat a medical disorder or disease. They are studied using randomized clinical trial methodology and reviewed, cleared or certified by regulatory bodies as required to support product claims regarding risk, efficacy, and intended use. Purpose To perform a systematic review of clinical research/studies conducted in the field of DTx with the aim to describe studies where DTx were used, c

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Radanliev, Petar, and David De Roure. "New and emerging forms of data and technologies: literature and bibliometric review." Multimedia Tools and Applications, July 30, 2022. http://dx.doi.org/10.1007/s11042-022-13451-5.

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AbstractWith the increased digitalisation of our society, new and emerging forms of data present new values and opportunities for improved data driven multimedia services, or even new solutions for managing future global pandemics (i.e., Disease X). This article conducts a literature review and bibliometric analysis of existing research records on new and emerging forms of multimedia data. The literature review engages with qualitative search of the most prominent journal and conference publications on this topic. The bibliometric analysis engages with statistical software (i.e. R) analysis of

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Pedram, Shiva, Grace Kennedy, and Sal Sanzone. "Assessing the validity of VR as a training tool for medical students." Virtual Reality 28, no. 1 (2024). http://dx.doi.org/10.1007/s10055-023-00912-x.

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AbstractThe advances in Virtual Reality technologies, increased availability and reducing hardware costs have diminished many of the early challenges in the adoption of VR. However, a commonly identified gap in immersive Virtual Reality-Head Mounded Display (VR-HMD) training for medical education is the confidence in the long-term validity of the applications, in particular, the acceleration of the learning curve efficacy of learning outcomes over time and actual skills translation into real environments. Research shows a wide range of ad hoc applications, with superficial evaluations often co

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Pace, Steven. "Revisiting Mackay Online." M/C Journal 22, no. 3 (2019). http://dx.doi.org/10.5204/mcj.1527.

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IntroductionIn July 1997, the Mackay campus of Central Queensland University hosted a conference with the theme Regional Australia: Visions of Mackay. It was the first academic conference to be held at the young campus, and its aim was to provide an opportunity for academics, business people, government officials, and other interested parties to discuss their visions for the development of Mackay, a regional community of 75,000 people situated on the Central Queensland coast (Danaher). I delivered a presentation at that conference and authored a chapter in the book that emerged from its procee

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Wolbring, Gregor. "Is There an End to Out-Able? Is There an End to the Rat Race for Abilities?" M/C Journal 11, no. 3 (2008). http://dx.doi.org/10.5204/mcj.57.

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Introduction The purpose of this paper is to explore discourses of ‘ability’ and ‘ableism’. Terms such as abled, dis-abled, en-abled, dis-enabled, diff-abled, transable, assume different meanings as we eliminate ‘species-typical’ as the norm and make beyond ‘species-typical’ the norm. This paper contends that there is a pressing need for society to deal with ableism in all of its forms and its consequences. The discourses around 'able' and 'ableism' fall into two main categories. The discourse around species-typical versus sub-species-typical as identified by certain powerful members of the sp

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Jethani, Suneel, and Robbie Fordyce. "Darkness, Datafication, and Provenance as an Illuminating Methodology." M/C Journal 24, no. 2 (2021). http://dx.doi.org/10.5204/mcj.2758.

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Data are generated and employed for many ends, including governing societies, managing organisations, leveraging profit, and regulating places. In all these cases, data are key inputs into systems that paradoxically are implemented in the name of making societies more secure, safe, competitive, productive, efficient, transparent and accountable, yet do so through processes that monitor, discipline, repress, coerce, and exploit people. (Kitchin, 165) Introduction Provenance refers to the place of origin or earliest known history of a thing. It refers to the custodial history of objects. It is a

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Brabazon, Tara. "Freedom from Choice." M/C Journal 7, no. 6 (2005). http://dx.doi.org/10.5204/mcj.2461.

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   On May 18, 2003, the Australian Minister for Education, Brendon Nelson, appeared on the Channel Nine Sunday programme. The Yoda of political journalism, Laurie Oakes, attacked him personally and professionally. He disclosed to viewers that the Minister for Education, Science and Training had suffered a false start in his education, enrolling in one semester of an economics degree that was never completed. The following year, he commenced a medical qualification and went on to become a practicing doctor. He did not pay fees for any of his University courses. When reminded o

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