Impact of ChatGPT on medical chatbots as a disruptive technology
Frontiers in Artificial Intelligence, 2023 COPYRIGHT © 2023 Chow, Sanders and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and
J. Chow, Leslie Sanders, Kay Li
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Needs-Based Innovation in Cardiovascular Medicine
JACC: Basic to Translational Science, 2016 More than a decade ago, a formalized fellowship training program in medical device innovation, the first of its kind, was created at Stanford University.
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Metrological Support of Medical Drillings at the Lateral Skull Base
Current Directions in Biomedical Engineering, 2021 For minimally invasive drilling processes, the temperature development in the drilling ground is of crucial importance for patient safety. To monitor the temperature during drilling, a drill prototype was developed by BREDEMANN ET AL.
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LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs [PDF]
, 2022 The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic. This paper presents a medical conversational question answering (CQA) system based on the multi-modal knowledge graph, namely "LingYi", which is designed as a pipeline framework to maintain high flexibility.
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História, Ciências, Saúde: Manguinhos, 1994 A prática médica contemporânea acha-se inscrita nos inflexíveis preceitos de uma ordem tecnológica. Para que esta tenha se organizado e desenvolvido, para que tenha se concretizado material e objetivamente, foi indispensável que seus produtos ...
Marco Antonio T. Porto
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Design: A neglected factor in medicine
McGill Journal of Medicine, 2020 N ...
Lukas A Holzer, Gerold Holzer
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A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises [PDF]
Proceedings of the IEEE, 2020 Since its renaissance, deep learning (DL) has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propelling us into the so-called artificial intelligence (AI) era.
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Technology of swallowable capsule for medical applications [PDF]
, 2014 Medical technology has undergone major breakthroughs in recent years, especially in the area of the examination tools for diagnostic purposes. This paper reviews the swallowable capsule technology in the examination of the gastrointestinal system for ...
Cosmas, J, Intzes, I, Meng, H
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RUSSIAN EXPERT SYSTEM ORISKON – ASSESSMENT OF THE MAJOR NON-COMMUNICABLE DISEASE RISK
Кардиоваскулярная терапия и профилактика, 2013 A new medical technology ORISKON (assessment of the major noncommunicable disease risk) is the first Russian expert system (ES) which not only assesses absolute and relative total levels of 10-year individual risk of major chronic non-communicable ...
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A reverse-engineered pitch on defensive versus evidence-based medical technology: Liability risk and electronic fetal monitoring in low-risk births [PDF]
Contabilitate şi Informatică de Gestiune, 2023 This pitching research letter (PRL) describes the application of the pitching research template introduced by Faff (2015, 2021) to a reverse-engineering process in the practice of electronic fetal monitoring (EFM) as a form of defensive medicine with ...
Elizabeth Yong, Kun Hing Yong
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