Postdeployment Monitoring and Surveillance Methods, Guidelines, and Possibilities for AI in Radiology

Radiographics 2026

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Authors: Vasantha Kumar Venugopal, Suyash Anil Khubchandani, Charlene Liew, Felipe Kitamura, Rohit Takhar, Gerald Lip
DOI: 10.1148/rg.250173
Cited by: 3
References: 29

Abstract

Radiology is increasingly adopting AI systems, and to ensure their safety after the systems go live, postdeployment monitoring is essential as part of the total product life cycle framework.

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
Radiographics
Publisher
Radiological Society of North America (RSNA)
Volume
46
Issue
7
Pages
e250173–e250173
Publication date
25 June 2026
Language
EN