This report details a three-step AI safety-net workflow implemented in Thailand to catch missed lung nodules on chest radiographs. By combining AI detection with centralized monitoring and radiologist reviews, the system identified forty-seven lung cancers from 107,238 scans. Nearly half were early-stage, proving that systematic follow-up effectively bridges the gap between AI identification and clinical intervention in routine practice.
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