Wake Forest University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Xiangchun Li, Sheng Zhang, Qiang Zhang et al.
2018 · 413 Zit.
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
Qing Lyu, Josh Tan, Michael E. Zapadka et al.
2023 · 324 Zit.
The digital metaverse: Applications in artificial intelligence, medical education, and integrative health
Abhimanyu S. Ahuja, Bryce W. Polascik, Divyesh Doddapaneni et al.
2022 · 241 Zit.
Structured Reporting in Radiology
Dhakshinamoorthy Ganeshan, Phuong-Anh T. Duong, Linda Probyn et al.
2017 · 230 Zit.
AI-Powered Clinical Documentation and Clinicians’ Electronic Health Record Experience
Tsai‐Ling Liu, Timothy Hetherington, Casey Stephens et al.
2024 · 59 Zit.
Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care
Garrett S. Bullock, Tom Hughes, Amelia H. Arundale et al.
2022 · 59 Zit.
ChatGPT Performance on the American Urological Association Self-assessment Study Program and the Potential Influence of Artificial Intelligence in Urologic Training
Nicholas A. Deebel, Ryan Terlecki
2023 · 50 Zit.
Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study
Tsai‐Ling Liu, Timothy Hetherington, Ajay Dharod et al.
2024 · 49 Zit.
Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?
Henry Bundy, Jay Gerhart, Sally Baek et al.
2024 · 49 Zit.
The next generation of healthcare ecosystem in the metaverse
Yong Li, Dinesh Visva Gunasekeran, Narrendar RaviChandran et al.
2023 · 48 Zit.
Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations
Laura Vearrier, Arthur R. Derse, Jesse B. Basford et al.
2022 · 41 Zit.
In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare
Mustafa Y. Topaloglu, Elisabeth M. Morrell, Suraj Rajendran et al.
2021 · 40 Zit.
Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence
Kamal Maheshwari, Jacek B. Cywinski, Frank Papay et al.
2022 · 39 Zit.
An Academic Publisher’s Response to Plagiarism
Bruce R. Lewis, Jonathan E. Duchac, S. Douglas Beets
2011 · 33 Zit.
Artificial Intelligence in Health Care: Insights From an Educational Forum
Andrew B. Barbour, Jennifer Frush, Luke A. Gatta et al.
2019 · 30 Zit.