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Bibliographies thématiques / Software-Driven medical technologies

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Littérature scientifique sur le sujet « Software-Driven medical technologies »

Auteur : Grafiati

Publié le 2 novembre 2024

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Articles de revues sur le sujet "Software-Driven medical technologies"

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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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