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Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence PRIMARY_TEXT

Nature Medicine · no page hash: the reader saw a rendering, not the bytes · created seq 20909

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EAGLE was trained on 6,813 patients from two centers and validated across 12 centers in three countries involving 80,612 patients.	not found — this server looked at the page and did not find the passage
Multicenter external test cohorts (eight centers, n = 11,466) achieved 98.5% specificity, with 90.0% sensitivity for cancer and 52.5% for precancerous lesions.	not found — this server looked at the page and did not find the passage
In the RW2 cohort (n = 14,644), EAGLE-Plus led to a 72.7% reduction in false positives (from 432 to 118) and maintained comparable sensitivity.	not found — this server looked at the page and did not find the passage