The application of artificial intelligence technology in the medical field is a hot research topic. A research team in Japan has developed a technique for detecting gastric cancer using artificial intelligence to analyze endoscopic images, which will contribute to the early diagnosis and timely treatment of gastric cancer.
According to reports, researchers such as the Japan Cancer Research Association used deep learning techniques to analyze more than 12,000 images of gastric cancer, enabling artificial intelligence programs to analyze images to detect signs of gastric cancer. The researchers then used about 2,300 images to verify that the artificial intelligence program detected 71 of the 77 lesions, the detection rate was over 92%, reached the level of the proficiency doctor, and the average time taken to analyze an image was only 0.02 seconds.
Early detection and early treatment are critical for curing gastric cancer. At present, the doctor's personal technical level has a great impact on the accuracy of endoscopy in gastric cancer. Japan requires at least two doctors to check and verify to reduce the risk of misdiagnosis. Researchers believe that artificial intelligence will help early detection of gastric cancer, but also reduce the burden on doctors and reduce the rate of misdiagnosis.
Previous research teams have reported similar results. For example, US researchers announced in January last year the development of technology to identify skin cancer using artificial intelligence; the Chinese University of Hong Kong team said in September last year that they used artificial intelligence to interpret medical images of lung and breast cancer with an accuracy rate of more than 90%.
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