In a new study published in the journal Clinical Gastroenterology and Hepatology, a multicenter team of researcher-clinicians led by gastroenterologists at Beth Israel Deaconess Medical Center (BIDMC) assessed whether artificial intelligence-based computer aided adenoma detection can improve colonoscopy quality by reducing the miss rate. The researchers reported a relative reduction of the miss rate by nearly a third when computer-aided detection was used in conjunction with standard-of-care colonoscopy. The study is the first randomized trial examining the role of a deep-learning based computer-aided detection system during colonoscopy in the United States and is also one of the first randomized trials examining the role of an artificial intelligence intervention in any field of medicine.

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