University of Maryland Medical System

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

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

2020 · 130 Zit.

Future Directions in Artificial Intelligence

Babak Saboury, Michael Morris, Eliot L. Siegel

2021 · 26 Zit.

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Nathan Sarkar, M. Kumagai, Samantha Meyr et al.

2024 · 8 Zit.

A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support

Luke C. Miller, Peter Kamel, Jigar B. Patel et al.

2024 · 6 Zit.

Graph feature selection for enhancing radiomic stability and reproducibility across multiple institutions in head and neck cancer

Hajar Moradmand, Jason K. Molitoris, Ling Xiao et al.

2025 · 1 Zit.

Combination AI-Machine Learning to Diagnose Pulmonary Hypertension: A Real-World Evidence Cohort Study

S. Shams, Mary Maldarelli, Steven J. Cassady et al.

2025 · 1 Zit.

Navigating the Frontier of artificial intelligence implementation in radiology – part 1: Performance assessment

Maguy Farhat, Samir A. Dagher, Burak Berksu Ozkara et al.

2025 · 0 Zit.

Can <scp>AI</scp> Truly Assist the Microsurgeon? Comments on “Development of a Novel Artificial Intelligence Retrieval‐Augmented Generation Model for Microsurgery Clinical Decision Support”

Georgios Karamitros, Gregory A. Lamaris, William C. Lineaweaver

2026 · 0 Zit.

Artificial Intelligence-Driven Mapping of Global Microsurgery Research: Dual Automation for Data and Classification

Georgios Karamitros, Georgios Bouloukakis, Gregory A. Lamaris et al.

2026 · 0 Zit.