Literatura científica selecionada sobre o tema "Software-Driven medical technologies"
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Artigos de revistas sobre o assunto "Software-Driven medical technologies"
Sherif, Suheib, Wooi Haw Tan, Chee Pun Ooi, Abubaker Sherif e Sarina Mansor. "LoRa driven medical adherence system". Bulletin of Electrical Engineering and Informatics 9, n.º 6 (1 de dezembro de 2020): 2294–301. http://dx.doi.org/10.11591/eei.v9i6.2195.
Texto completo da fonteAmaral, Carolina, Maria Paiva, Ana Rita Rodrigues, Francisco Veiga e Victoria Bell. "Global Regulatory Challenges for Medical Devices: Impact on Innovation and Market Access". Applied Sciences 14, n.º 20 (12 de outubro de 2024): 9304. http://dx.doi.org/10.3390/app14209304.
Texto completo da fonteMani Padmanabhan, Et al. "Topological Data Analysis for Software Test Cases Generation". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9 (5 de novembro de 2023): 2046–53. http://dx.doi.org/10.17762/ijritcc.v11i9.9203.
Texto completo da fonteKricka, Larry J. "History of disruptions in laboratory medicine: what have we learned from predictions?" Clinical Chemistry and Laboratory Medicine (CCLM) 57, n.º 3 (25 de fevereiro de 2019): 308–11. http://dx.doi.org/10.1515/cclm-2018-0518.
Texto completo da fonteParak, Roman, e Martin Juricek. "Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm". MENDEL 28, n.º 1 (30 de junho de 2022): 32–40. http://dx.doi.org/10.13164/mendel.2022.1.032.
Texto completo da fonteChmielewski, Mariusz, Damian Frąszczak e 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.
Texto completo da fonteApanisile, Temitope, e Joshua Ayobami Ayeni. "Development of an Extended Medical Diagnostic System for Typhoid and Malaria Fever". Artificial Intelligence Advances 5, n.º 1 (26 de setembro de 2023): 28–40. http://dx.doi.org/10.30564/aia.v5i1.5505.
Texto completo da fonteMazumder, Engr Rajib, Muhammad Anwar Hossain e Dr Aparna Chakraborty. "Smart Defense: How Self-Learning AI Can Shield Bangladeshi Medical Records". International Journal of Scientific Research and Management (IJSRM) 12, n.º 05 (8 de maio de 2024): 1174–80. http://dx.doi.org/10.18535/ijsrm/v12i05.ec02.
Texto completo da fonteVenudhar Rao Hajari, Abhip Dilip Chawda, Dr. Punit Goel, A Renuka e Lagan Goel. "Embedded Systems Design for High-Performance Medical Applications". Journal of Quantum Science and Technology 1, n.º 2 (31 de agosto de 2024): 70–84. http://dx.doi.org/10.36676/jqst.v1.i3.28.
Texto completo da fonteRuiu, Pietro, Michele Nitti, Virginia Pilloni, Marinella Cadoni, Enrico Grosso e Mauro Fadda. "Metaverse & Human Digital Twin: Digital Identity, Biometrics, and Privacy in the Future Virtual Worlds". Multimodal Technologies and Interaction 8, n.º 6 (5 de junho de 2024): 48. http://dx.doi.org/10.3390/mti8060048.
Texto completo da fonteTeses / dissertações sobre o assunto "Software-Driven medical technologies"
Haberbusch, Jean-Loup. "Evaluation de la maturité des technologies médicales pilotées par logiciel : vers un modèle non contraignant pour la phase de recherche". Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALM019.
Texto completo da fonteNumerous obstacles hinder the emergence of new medical technologies stemming from research. One of the primary challenges in technology transfer is the time and effort required to comply with regulations. In this context, evaluating the maturity of medical technologies becomes essential, but it poses a significant challenge.Methods for assessing technological maturity are approaches used to evaluate the development and reliability level of specific technologies. In the field of information systems, these methods are commonly employed to assess the maturity of technological infrastructures, software, and IT processes. They identify the strengths and weaknesses of a technology, guide investment decisions, and optimize development processes for efficient utilization of these technologies in their intended contexts.However, using existing maturity assessment methods during the research phase is not suitable or feasible due to their restrictive nature. The objective of this thesis is to demonstrate a non-binding approach to implement and measure technological maturity during the research phase of software-driven medical technologies (SdMT).To achieve this goal, our work provides the necessary foundations for constructing a maturity model. The model aims to enable quantitative and objective evaluation of the readiness level of an SdMT at a given point in time, regarding its potential for transfer. This transfer could involve collaborative research projects, progressing towards clinical trials, or entering into a regulated process. The proposed model can provide insights into the necessary actions to enhance the maturity level.The work conducted in this thesis offers a solid foundation, including a model of artifacts based on ISO/IEC 62304 standard, an evaluation questionnaire called SMAQ (SdMT Maturity Assessment Questionnaire), and a maturity score. The validity of the SMAQ has been demonstrated through a survey conducted among domain experts, resulting in a consolidated version of the questionnaire.Based on the obtained results, it has been possible to define initial elements of a maturity model, such as maturity levels, the path towards the highest maturity level, and the maturity assessment questions. The dimensions and sub-categories of the maturity model will be further defined in future work
Capítulos de livros sobre o assunto "Software-Driven medical technologies"
P. Ori, Zsolt. "Integrated Cyber-Physical System to Support Early Diagnosis and Prevention of Prediabetes and Complications of Type 2 Diabetes". In Type 2 Diabetes [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94232.
Texto completo da fonteRevathy, M., e A. S. Rakseda keerthi. "Cyber-Physical Systems in HealthCare". In Cyber Physical Systems - Advances and Applications, 134–53. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815223286124010008.
Texto completo da fonteCollier, Gordana, Andy Augousti e Andrzej Ordys. "The Roadmap for Experimental Teaching of Science and Engineering Based Subjects". In Cutting-Edge Technologies and Social Media Use in Higher Education, 173–94. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5174-6.ch007.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Software-Driven medical technologies"
Knoll, Tom, Francesco Moramarco, Alex Papadopoulos Korfiatis, Rachel Young, Claudia Ruffini, Mark Perera, Christian Perstl, Ehud Reiter, Anya Belz e Aleksandar Savkov. "User-Driven Research of Medical Note Generation Software". In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.naacl-main.29.
Texto completo da fonteHaberbusch, Jean-Loup, Guillaume Dardenne e Emmanuel Promayon. "Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase *". In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. http://dx.doi.org/10.1109/embc40787.2023.10341142.
Texto completo da fonte