Endoscopic Imaging Diagnosis using AI System Detects Gastric Cancers with over 90% Accuracy within One Minute
A deep learning artificial intelligence (AI) system (The AI was a joint project developed by Tomohiro Tada of the Saitama-based Tada Tomohiro Institute of Gastroenterology and Proctology, the Tokyo-based Cancer Institute Hospital in Ariake, Tokyo, and other facilities) has been developed to detect gastric cancers, and achieved over 90 percent accuracy in analysis of more than 2,000 endoscopic images in under a minute. Not only is the AI system expected to lessen the examination burden on endoscopy physicians, but because the AI makes decisions in real time based on the images, it can also possibly be utilized so doctors have more time to investigate suspected cancerous areas in more detail.
The team used 13,584 endoscopic images from the two facilities to have the AI learn to identify cancer by image recognition through a process known as deep learning. After teaching the AI, it was tasked to process 2,296 endoscopic images from 69 patients, and it accurately identified cancerous areas in the patients at a rate of 92.2 percent. When extremely early stage cancer with a diameter of 5 millimeters or less was excluded, the AI’s accuracy rate jumped to 98.6 percent. It took the AI only 47 seconds for the diagnoses. Gastric cancer 5 millimeters or less in size is reportedly difficult to spot even for doctors who specialize in endoscopy.