{"entity":{"id":"idea-prev-ldct-ai-negative-triage","kind":"idea","name":"AI clears the normal lung screening scans so radiologists read only the suspicious ones","aka":[],"tldr":"Most screening CT scans are normal. Letting a validated AI clear them, and sending only flagged scans to a radiologist, would let screening scale without more radiologists.","summary":"Autonomous AI triage for chest X-ray is already CE-marked; for low-dose CT, tools reach high sensitivity for nodules of 6 mm and above. Propose a prospective non-inferiority trial where AI-negative scans are not read by radiologists (safety net: random 10% audit), with missed-cancer rate at two years as the primary endpoint.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (The hardest cancers are found late): Crosby et al., Early detection of cancer (Science 2022)","url":"https://doi.org/10.1126/science.aay9040"}],"tags":[],"related":[],"cancers":["nsclc"],"sections":["early-detection","imaging"],"technologies":["ct","radiology-ai-screening"],"targets":[],"drugs":[],"companies":["aidoc","lunit"],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-early-detection","b-workforce","b-ai-validation"],"keyPapers":["paper-crosby-science"],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"AI negative-triage removes at least half of reads from radiologists with a missed-cancer rate non-inferior (margin 0.5 per 1,000) to double reading.","rationale":"Radiologist capacity is the binding constraint on lung screening rollout in most countries; workload reduction, not detection, is the value.","test":"Two-arm prospective trial across three to five screening centres, about 50,000 scans, with registry-linked interval cancers.","maturity":"early-clinical","actor":"clinic","cost":"medium","horizonYears":4},"route":"/ideas/idea-prev-ldct-ai-negative-triage/","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/"}],"company":[{"id":"aidoc","kind":"company","name":"Aidoc","route":"/companies/aidoc/"},{"id":"lunit","kind":"company","name":"Lunit","route":"/companies/lunit/"}],"bottleneck":[{"id":"b-ai-validation","kind":"bottleneck","name":"AI that is built but not validated or deployed","route":"/bottlenecks/b-ai-validation/"},{"id":"b-workforce","kind":"bottleneck","name":"Not enough oncologists, nurses, pathologists, physicists","route":"/bottlenecks/b-workforce/"},{"id":"b-early-detection","kind":"bottleneck","name":"The hardest cancers are found late","route":"/bottlenecks/b-early-detection/"}],"paper":[{"id":"paper-crosby-science","kind":"paper","name":"Early detection of cancer","route":"/key-papers/paper-crosby-science/"}]}}