Abstract
Endoscopic screening for early detection of upper gastrointestinal (UGI) cancer (oesophageal and stomach cancer) is important. However, population-based endoscopic screening is difficult to implement in populous countries. By identifying high-risk individuals from the general population, the screening targets can be narrowed to individuals who are in most need of an endoscopy. This study was designed to develop an artificial intelligence-based model to predict patient risk of UGI lesions to identify high-risk individuals for endoscopy.
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