Japanese researchers built a new AI system that can detect bowel cancer in less than a second. A new endoscopic system powered by artificial intelligence (AI) has automatically identified colorectal adenomas during colonoscopy.
The new computer-aided diagnostic system uses an endocytoscopic image to analyze approximately 300 features of the polyp.
The system analyzes each polyp against more than 30,000 endocytoscopic images that used for machine learning, allowing it to predict the lesion pathology in less than a second. Previous studies demonstrated the viability of using such a system to classify colorectal polyps. Till now, no prospective studies reported.
colorectal polyps detected using endocytoscopy
The study, led by Dr. Yuichi Mori from Showa University in Yokohama, Japan, involved 250 men and women in whom colorectal polyps detected using endocytoscopy. The AI-assisted system used to predict the pathology of each polyp and those predictions compare with the pathological report obtained from the final resected specimens.
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