Researchers in Cleveland developed an AI tool that identifies lung cancer nodules overlooked by trained radiologists. The system analyzes medical imaging to flag subtle anomalies. This precision reduces diagnostic errors in early-stage screenings. Practitioners can now use these computer vision models to increase detection rates and improve patient survival outcomes.