Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of Models

American Journal of Roentgenology 2026

View at publisher
Authors: David B. Larson, Jason Poff, Sriyesh Krishnan, Jerome Avondo, Bonnie A. Armstrong, Hye Sun Na, Akshay Chaudhari, Nina Kottler
DOI: 10.2214/ajr.25.34340
Cited by: 4
References: 18

Abstract

Background: Real-world performance of radiology artificial intelligence (AI) applications frequently diverges from previously reported results, creating challenges in anticipating a model's clinical value and impact.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Volume
227
Issue
1
Pages
e2534340–e2534340
Publication date
4 March 2026
Language
EN