Yale University
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Aidan Gilson, Conrad Safranek, Thomas Huang et al.
2023 · 1.988 Zit.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad et al.
2023 · 1.487 Zit.
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al.
2022 · 1.062 Zit.
Clinical Decision Support Systems for the Practice of Evidence-based Medicine
Ida Sim, Paul Gorman, Robert A. Greenes et al.
2001 · 747 Zit.
The Clinician and Dataset Shift in Artificial Intelligence
Samuel G. Finlayson, Adarsh Subbaswamy, Karandeep Singh et al.
2021 · 606 Zit.
Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu et al.
2024 · 529 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.
2022 · 469 Zit.
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury et al.
2021 · 403 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
van der Laak J, Corrado GS, Allan R et al.
2022 · 390 Zit.
Bias in medical AI: Implications for clinical decision-making
James M. Cross, Michael A. Choma, John A. Onofrey
2024 · 375 Zit.
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Mauro Giuffrè, Dennis Shung
2023 · 329 Zit.
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information
Skyler B. Johnson, Andy J. King, Echo L. Warner et al.
2023 · 289 Zit.
Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction
Rohan Khera, Julian S. Haimovich, Nathan C. Hurley et al.
2021 · 285 Zit.
Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening
Caroline A. Nelson, Lourdes M. Pérez-Chada, Andrew Creadore et al.
2020 · 271 Zit.
Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
Mario Coccia
2019 · 232 Zit.