Externally Tested AI for Lung Nodule Classification: A Realistic Benchmark for an Emerging Screening Era

2026/07/01 by Keno K. Bressem, Su Hwan Kim · 1 voice
Medicine · #COVID-19 diagnosis using AI #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1148/ryai.260529

crossref issued 2026/07/01 · crossref published 2026/07/01 · crossref published-print 2026/07/01 · openalex publication_date 2026/07/01 · crossref created 2026/07/01 · crossref deposited 2026/07/01 · crossref indexed 2026/07/01 · openalex created_date 2026/07/02 · openalex updated_date 2026/07/22

Citations

• QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
• Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
• Externally Tested AI Models for Malignancy Classification of Lung Nodules at CT: A Systematic Review and Meta-Analysis

Discussions

• Understanding Asmara et al's new systematic review and meta-analysis of lung nodule malignancy classification AI tools using chest CT https://doi.org/10.1148/ryai.260529 @kbressem.bsky.social @shk03.b [bsky, 5 points, 0 comments]