Wake Forest University

Cardiovascular Event Prediction by Machine Learning

Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu et al.

2017 · 624 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 · 336 Zit.

The digital metaverse: Applications in artificial intelligence, medical education, and integrative health

Abhimanyu S. Ahuja, Bryce W. Polascik, Divyesh Doddapaneni et al.

2022 · 244 Zit.

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.

2021 · 241 Zit.

Structured Reporting in Radiology

Dhakshinamoorthy Ganeshan, Phuong-Anh T. Duong, Linda Probyn et al.

2017 · 231 Zit.

AI-Powered Clinical Documentation and Clinicians’ Electronic Health Record Experience

Tsai‐Ling Liu, Timothy Hetherington, Casey Stephens et al.

2024 · 69 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 · 61 Zit.

Just How Confident Can We Be in Predicting Sports Injuries? A Systematic Review of the Methodological Conduct and Performance of Existing Musculoskeletal Injury Prediction Models in Sport

Garrett S. Bullock, Joseph A. Mylott, Tom Hughes et al.

2022 · 57 Zit.

Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

Henry Bundy, Jay Gerhart, Sally Baek et al.

2024 · 57 Zit.

Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study

Tsai‐Ling Liu, Timothy Hetherington, Ajay Dharod et al.

2024 · 56 Zit.

The next generation of healthcare ecosystem in the metaverse

Yong Li, Dinesh Visva Gunasekeran, Narrendar RaviChandran et al.

2023 · 50 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.

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 · 43 Zit.

Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence

Kamal Maheshwari, Jacek B. Cywinski, Frank Papay et al.

2022 · 42 Zit.

Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations

Laura Vearrier, Arthur R. Derse, Jesse B. Basford et al.

2022 · 41 Zit.