Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology

Radiology Artificial Intelligence 2026 Open access

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Authors: Florence X. Doo, Melissa Davis, Jason Poff, Yvonne W. Lui, Kevin Haines, Alexander J. Towbin
DOI: 10.1148/ryai.250982
Cited by: 1
References: 89

Abstract

As artificial intelligence (AI) becomes more autonomous and multimodal, existing policy frameworks must adapt. Trustworthy AI in radiology requires translational bialignment, integrating both regulatory and implementation science across the lifecycle, with radiologists bridging policy and clinical practice.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiology practices and education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
4
Pages
e250982–e250982
Publication date
27 May 2026
Language
EN