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Machine Learning Could Aid Diagnosis of Barrett’s Esophagus, Avoid Invasive Testing

A risk prediction model consisting of 8 independent diagnostic variables, including age, sex, waist circumference, stomach pain frequency, cigarette smoking, duration of heartburn and acidic taste, and current history of antireflux medication use, can provide potential insight into a patient’s risk for Barrett’s esophagus before endoscopy, according to a study in published Lancet Digital Health.

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