AI clears the normal lung screening scans so radiologists read only the suspicious ones
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.
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.
- Most lethal cancers are found late · Screening exists for only a few cancers. Pancreatic, ovarian, liver, oesophageal and most lung cancers are found when cure is unlikely.
- Not enough oncologists, nurses, pathologists, physicists · The number of people with cancer is rising faster than the workforce trained to treat them.
- AI that is built but not validated or deployed · Thousands of cancer AI models are published; a handful are in clinical use, and fewer have shown they help patients.
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