Artificial intelligence in thoracic surgery: past, present, perspective and limits
Harry Etienne, Sarah Hamdi, Marielle Le Roux et al. · European Respiratory Review · 2020
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A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
Jane Scheetz, Philip Rothschild, Myra McGuinness et al. · Scientific Reports · 2021
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Editorial: Translating artificial intelligence into clinical use within cardiology
Paul Leeson, Shane Nanayakkara, Shane Nanayakkara et al. · Frontiers in Cardiovascular Medicine · 2022
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The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Bertalan Meskó, Eric J. Topol · npj Digital Medicine · 2023 · Review
Full textCC BY
Artificial intelligence in clinical and genomic diagnostics
Raquel Dias, Ali Torkamani · Genome Medicine · 2019 · Review
Full textCC BY
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
Malik Sallam · Healthcare · 2023 · Review
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Artificial intelligence: more human with human
Moshe Sipper, Jason H. Moore · BioData Mining · 2017
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The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
Marco Cascella, Federico Semeraro, Jonathan Montomoli et al. · Journal of Medical Systems · 2024 · Review
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How do people think about the implementation of speech and video recognition technology in emergency medical practice?
Ki Hong Kim, Ki Jeong Hong, Sang Do Shin et al. · PLoS ONE · 2022
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Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review
Fábio Gama, Daniel Tyskbo, Jens Nygren et al. · Journal of Medical Internet Research · 2022
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An overview of GeoAI applications in health and healthcare
Maged N. Kamel Boulos, Guochao Peng, Trang VoPham · International Journal of Health Geographics · 2019
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Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
Jakub Olczak, John Pavlopoulos, Jasper Prijs et al. · Acta Orthopaedica · 2021
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Corrected Can artificial intelligence help for scientific writing?
Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli · Critical Care · 2023 · Review
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Harnessing data science to advance radiation oncology
Ivan R. Vogelius, Jens Petersen, Søren M. Bentzen · Molecular Oncology · 2020
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Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study
Takanobu Hirosawa, Yukinori Harada, Masashi Yokose et al. · International Journal of Environmental Research and Public Health · 2023
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Artificial Intelligence in Neurointensive Care Unit: A Cautious Leap into Future
Parmod K. Bithal · Journal of Neuroanaesthesiology and Critical Care · 2020
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Big data and comparative effectiveness research in radiation oncology: synergy and accelerated discovery
Daniel eTrifiletti, Timothy eShowalter · Frontiers in Oncology · 2015
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Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study
Simone Castagno, Mohamed Khalifa · Frontiers in Artificial Intelligence · 2020
Full textCC BY
Application of artificial intelligence in renal disease
Lijing Yao, Hengyuan Zhang, Mengqin Zhang et al. · Clinical eHealth · 2021
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Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science
Jong Hyo Kim · 대한영상의학회지 · 2019
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