Metrics for Artificial Intelligence in Medicine: A Reference Resource

Radiology Artificial Intelligence 2026

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Authors: Ricardo A. Gonzales, Marcelo Straus Takahashi, Tara Retson, Imon Banerjee, S. H. Park, Charles E. Kahn
DOI: 10.1148/ryai.260070
Cited by: 2
References: 28

Abstract

A comprehensive, machine-interpretable taxonomy of artificial intelligence (AI) performance metrics provides a shared vocabulary and structured foundation to facilitate rigorous, transparent, and responsible evaluation of medical AI systems.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging Machine Learning in Healthcare

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e260070–e260070
Publication date
11 March 2026
Language
EN