AI predicts cancer risk from lung screening CTs, clinical data without radiologist assistance


A new model combining lung screening CT information with clinical data can better predict lung cancer without required manual reading, according to recently published research.

The deep learning tool integrates CT features such as nodule size and risk factors including age, pack-years smoked, cancer history, and more. Developed and tested on exams from more than 23,000 patients, the co-learning model outperformed risk models utilizing clinical or imaging data alone, including the popular Brock model.

Riqiang Gao, a PhD student in computer science at Vanderbilt University, and colleagues…



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