Baylor Scott & White Health

Generative artificial intelligence in graduate medical education

Ravi Janumpally, Suparna Nanua, Angel Ngo et al.

2025 · 33 Zit.

Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients

Ruth Sapir‐Pichhadze, Bruce Kaplan

2019 · 33 Zit.

Predicting Heart Failure From 12-Lead ECGs Using AI

Akshay S. Desai, Ambarish Pandey, Rohit Suratekar et al.

2025 · 3 Zit.

The Role of Natural Language Processing in Graduate Medical Education: A Scoping Review

Ravi Janumpally

2025 · 2 Zit.

Examining the teacher readiness gap at the interface of artificial intelligence and medical education: A qualitative study of clinical educators

Tim H. Murphy, Ginger Vaughn, Rob E. Carpenter et al.

2024 · 1 Zit.

Assessing the accuracy and readability of ChatGPT 4.0's original and simplified responses to common patient questions regarding periacetabular osteotomy

John M Gaddis, Elias Arellano, Blake Martin et al.

2025 · 1 Zit.

Lessons Learned From Robotic Exoskeleton Use During Rehabilitation – Therapy & Medical Considerations

Coulter Galvan, Jake DiPasquale, Molly Trammell et al.

2019 · 0 Zit.

Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock

Elric Zweck, Manreet Kanwar, Song Li et al.

2024 · 0 Zit.

The rapid evolution of AI in patient education—promise, peril, and the path forward

Christian Horazeck, William C. Culp, Russell K. McAllister

2025 · 0 Zit.

507 Artificial Intelligence-Assisted Histopathology As A Training Tool For Residents

Min Zhu, Shanyan Chen, Xin Duan et al.

2025 · 0 Zit.