Most lung nodules on CT are harmless but trigger years of follow-up scans. A validated AI score could discharge low-risk nodules immediately.
Most lung nodules on CT are harmless but trigger years of follow-up scans, so this idea discharges AI-low-risk nodules at baseline instead of following them. Nodule AI improves discrimination over the Brock model, and follow-up imaging is a major cost and source of anxiety in screening and incidental nodule management. An RCT would compare immediate discharge of low-risk nodules with standard follow-up, using missed cancer at three years as the safety endpoint and scans and biopsies avoided as efficacy. The test is a multicentre RCT of 5,000 nodules. At early-clinical maturity it addresses the bottlenecks Overdiagnosis and false alarms and AI that is built but not validated or deployed.
Shares Overdiagnosis in cancer, AI that is built but not validated or deployed, Overdiagnosis and false alarms.
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms, CT (computed tomography).
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms, CT (computed tomography).
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms.
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms.
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms.
Shares Overdiagnosis in cancer, Overdiagnosis and false alarms.
Shares Overdiagnosis in cancer, AI in radiology, Overdiagnosis and false alarms, Non-small-cell lung cancer.