Texas Medical Center

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs

Rebecca M. Jones, Anuj Kumar Sharma, Robert Hotchkiss et al.

2020 · 129 Zit.

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

Laila Rasmy, Yang Xiang, Ziqian Xie et al.

2020 · 61 Zit.

An analysis of the actual cost of tibial nonunions.

R Beaver, Mark R. Brinker, Robert L. Barrack

1997 · 38 Zit.

Initial experience with a second generation locking femoral nail: the Russell-Taylor reconstruction nail.

G K Hoover, Bruce D. Browner, J. DEAN COLE et al.

1991 · 16 Zit.

Differentiating spinal pathologies by deep learning approach

Oz Haim, Oz Haim, Ariel Agur et al.

2023 · 15 Zit.

AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations

Robert Herman, Bryn E. Mumma, Jake D. Hoyne et al.

2025 · 11 Zit.

AI Powered Research: Consensus

Joanne Romano

2026 · 0 Zit.

Diagnostic accuracy and bias in open access and subscription-based large language models for multiple sclerosis and neuromyelitis optica spectrum disorder

Tom G. Punnen, Kevin Shan, Mahi A. Patel et al.

2025 · 0 Zit.

Development and validation of a novel machine learning–based algorithm to predict incident atrial fibrillation: A multicohort analysis

Matthew W. Segar, Neil Keshvani, Byron C. Jaeger et al.

2025 · 0 Zit.

Role of artificial intelligence in critical care medicine

Joseph Varón

2025 · 0 Zit.

Physicians Outperform Large Language Models in Pediatric Discharge Summary Generation

Andrew P. Bain, Averi Wilson, J. W. Webb et al.

2026 · 0 Zit.