TORONTO—A novel artificial intelligence system accurately predicts esophageal stricture after endoscopic submucosal dissection for early esophageal cancer, according to a study by researchers from Japan.
“This is one of a growing number of studies using AI to develop a prediction system,” Ronnie Fass, MD, the director of the Division of Gastroenterology and Hepatology at MetroHealth Medical Center and a professor of medicine at Case Western Reserve University, in Cleveland, told Gastroenterology & Endoscopy News. “What I find interesting about this particular system is that the investigators developed a model to identify risks and predict outcomes based on videos. This is thought-provoking and rather unique.”
Esophageal stricture (ES) is the most common complication associated with endoscopic submucosal dissection (ESD), particularly in patients with a circumferential resection range greater than three-fourths. Patients may experience nausea, vomiting, loss of appetite, dysphagia and worsened quality of life. The complication also may increase costs if additional treatments (such as endoscopic balloon dilatation) are required.