Royal University Hospital

Large Language Models as Tools to Generate Radiology Board-Style Multiple-Choice Questions

Neel Mistry, Huzaifa Saeed, Sidra Rafique et al.

2024 · 46 Zit.

Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?

Yi Xin, Scott Adams, Robert D. E. Henderson et al.

2020 · 38 Zit.

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

Monish Ahluwalia, Mohamed Abdalla, James K. Sanayei et al.

2023 · 23 Zit.

Impact of ChatGPT and Large Language Models on Radiology Education: Association of Academic Radiology—Radiology Research Alliance Task Force White Paper

David H. Ballard, Alexander Antigua-Made, E. Barré et al.

2024 · 18 Zit.

How generative AI voice agents will transform medicine

Scott Adams, Julián Acosta, Pranav Rajpurkar

2025 · 10 Zit.

Healthcare Delivery: Leveraging Artificial Intelligence to Strengthen Healthcare Quality

Patrick Seitzinger, Zoher Rafid-Hamed, Jawahar Kalra

2021 · 2 Zit.

Harnessing the Power of Generative AI to Enhance Radiologist Efficiency and Accuracy

Paul Babyn, Scott Adams

2025 · 1 Zit.

Artificial Intelligence for CT and MRI Protocoling: A Meta-Analysis of Traditional Machine Learning, BERT, and Large Language Models

Ethan Sacoransky, Yash Chauhan, Scott Adams

2025 · 1 Zit.

Artificial Intelligence and Humanistic Medicine: A Symbiosis

Jawahar Kalra, Zoher Rafid-Hamed, Patrick Seitzinger

2021 · 1 Zit.

Reply to “Comparing Accuracy Across Nonequivalent Protocol Spaces in Artificial Intelligence–Based CT and MRI Protocoling”

Ethan Sacoransky

2026 · 0 Zit.