{"entity":{"id":"idea-prev-lung-nodule-ai-discharge","kind":"idea","name":"AI malignancy scores to end repeat scans and biopsies for benign lung nodules","aka":[],"tldr":"Most lung nodules on CT are harmless but trigger years of follow-up scans. A validated AI score could discharge low-risk nodules immediately.","summary":"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.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (Overdiagnosis and false alarms): Welch & Black, Overdiagnosis in cancer (JNCI 2010)","url":"https://doi.org/10.1093/jnci/djq099"}],"tags":[],"related":[],"cancers":["nsclc"],"sections":["early-detection","imaging"],"technologies":["ct","radiology-ai-screening"],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-overdiagnosis","b-ai-validation"],"keyPapers":["paper-welch-j-natl-cancer-inst"],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"AI-based discharge removes at least 40% of follow-up CTs and 25% of benign biopsies with missed cancers under 0.5%.","rationale":"Follow-up imaging burden is a major cost and anxiety source in screening and incidental nodule management.","test":"Run a multicentre RCT of 5,000 nodules.","maturity":"early-clinical","actor":"clinic","cost":"medium","horizonYears":4},"route":"/ideas/idea-prev-lung-nodule-ai-discharge/","neighbours":{"cancer":[{"id":"nsclc","kind":"cancer","name":"Non-small-cell lung cancer","route":"/cancers/nsclc/"}],"section":[{"id":"early-detection","kind":"section","name":"Early Detection & Screening","route":"/fronts/early-detection/"},{"id":"imaging","kind":"section","name":"Imaging","route":"/fronts/imaging/"}],"technology":[{"id":"radiology-ai-screening","kind":"technology","name":"AI in radiology","route":"/technologies/radiology-ai-screening/"},{"id":"ct","kind":"technology","name":"CT (computed tomography)","route":"/technologies/ct/"}],"bottleneck":[{"id":"b-ai-validation","kind":"bottleneck","name":"AI that is built but not validated or deployed","route":"/bottlenecks/b-ai-validation/"},{"id":"b-overdiagnosis","kind":"bottleneck","name":"Overdiagnosis and false alarms","route":"/bottlenecks/b-overdiagnosis/"}],"paper":[{"id":"paper-welch-j-natl-cancer-inst","kind":"paper","name":"Overdiagnosis in cancer","route":"/key-papers/paper-welch-j-natl-cancer-inst/"}]}}