Baylor Scott & White Health

Generative artificial intelligence in graduate medical education

Ravi Janumpally, Suparna Nanua, Andy Ngo et al.

2025 · 44 Zit.

A contextual detector of surgical tools in laparoscopic videos using deep learning

Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan

2021 · 42 Zit.

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

Ruth Sapir‐Pichhadze, Bruce Kaplan

2019 · 34 Zit.

Retrieval-augmented generation for interpreting clinical laboratory regulations using large language models

Suparna Nanua, Raven Steward, Benjamin A. Neely et al.

2025 · 7 Zit.

Predicting Heart Failure From 12-Lead ECGs Using AI

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

2025 · 6 Zit.

Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors

Tushar Patel, Aaron Jeremy Chaise, John Hanna et al.

2024 · 5 Zit.

Development of a Natural Language Processing Model for Extracting Kidney Biopsy Pathology Diagnoses

Shane A. Bobart, Enshuo Hsu, Thomas Potter et al.

2025 · 3 Zit.

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

Ravi Janumpally

2025 · 3 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.

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

Elric Zweck, Manreet Kanwar, Song Li et al.

2024 · 0 Zit.

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

Coulter Galvan, Jake DiPasquale, Molly Trammell et al.

2019 · 0 Zit.

Ability of artificial intelligence to correctly predict inpatient versus observation hospital discharge status

Linley E. Watson, Rodney A. Light, Courtney Shaver

2025 · 0 Zit.

500 Beyond CRC: AI-powered MSI Status Detection Across Gastric, Endometrial and Biliary Tract Cancers— Robust Validation Across 11 International Cohorts and Novel Cross-Indication Insights

Mélanie Lubrano, Elin Samuelsson, Alexandre Filiot et al.

2026 · 0 Zit.

Characteristics and Outcomes of Over One Million Veterans with Heart Failure Phenotyped Using Artificial Intelligence Approaches: The National DCVA-HF Registry

Sijian Zhang, Venkatesh K. Raman, Yijun Shao et al.

2026 · 0 Zit.