New algorithm shows how AI could make lung cancer screening more cost-effective

Radiology Business March 22, 2023
Jessica Kania

Using deep learning algorithms, AI was able to review low-dose CT images with presumed nonmalignant lung nodules and predict which ones would likely lead to a cancer diagnosis at a one-year follow-up screening, according to a new study published in JAMA Network Open.

Using those predictions, the algorithm then sorted patients into two categories: those who should be screened annually and those who should be screened biennially. Separating high-risk and low-risk patients in this way could potentially offer healthcare providers an opportunity to reduce healthcare costs while also minimizing harm through unnecessary CT exposure, all without significantly increasing the risk of a delayed cancer diagnosis, the authors concluded.

“Our findings are a proof of principle that deep learning...

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