Externally Tested AI Models for Malignancy Classification of Lung Nodules at CT: A Systematic Review and Meta-Analysis

Radiology Artificial Intelligence 2026

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Authors: Oke Dimas Asmara, Eline G.M. Steenhuis, K De Jong, Anita Joseph, Marjan Timmer, Eric Daniel Tenda, E.Christiaan Boerma, Marjolein A. Heuvelmans, Wouter H. van Geffen
DOI: 10.1148/ryai.250331
Cited by: 1
References: 50

Abstract

This meta-analysis evaluated externally tested AI models for malignancy classification of lung nodules at chest CT and demonstrated high sensitivity but moderate specificity, with substantial heterogeneity, supporting a potential adjunctive role in rule-out strategies.

Fields of Study & Subjects

Lung Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Lung Cancer Research Studies

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
4
Pages
e250331–e250331
Publication date
3 June 2026
Language
EN