Yale University
Relevante Arbeiten
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 · 1.915 Zit.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad et al.
2023 · 1.368 Zit.
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al.
2022 · 981 Zit.
The Clinician and Dataset Shift in Artificial Intelligence
Samuel G. Finlayson, Adarsh Subbaswamy, Karandeep Singh et al.
2021 · 560 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 · 446 Zit.
Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu et al.
2024 · 443 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 · 390 Zit.
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury et al.
2021 · 386 Zit.
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Mauro Giuffrè, Dennis Shung
2023 · 299 Zit.
REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19
Bonnie J. Kaplan
2020 · 297 Zit.
Bias in medical AI: Implications for clinical decision-making
James M. Cross, Michael A. Choma, John A. Onofrey
2024 · 294 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 · 283 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 · 262 Zit.
Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
Mario Coccia
2019 · 231 Zit.
Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration
Ping Yu, Hua Xu, Xia Hu et al.
2023 · 216 Zit.