6/10/2023 0 Comments Realtimes supportIn Japan, more than 130,000 people were diagnosed with CRC in 2013, and more than 50,000 people died of the disease in 2016 1. The incidence of colorectal cancer (CRC) has been increasing both in Japan and globally 1, 2. This AI system can alert endoscopists in real-time to avoid missing abnormalities such as non-polypoid polyps during colonoscopy, improving the early detection of this disease. ![]() These findings suggest that the system is sufficient to support endoscopists in the high detection against non-polypoid lesions, which are frequently missed by optical colonoscopy. Moreover, the sensitivities are 98.0% (95% CI = 96.6%–98.8%) in the polypoid subgroup and 93.7% (95% CI = 87.6%–96.9%) in the non-polypoid subgroup To accelerate the detection, tensor metrics in the trained model was decomposed, and the system can predict cancerous regions 21.9 ms/image on average. Here, we develop an artificial intelligence (AI) system that automatically detects early signs of colorectal cancer during colonoscopy the AI system shows the sensitivity and specificity are 97.3% (95% confidence interval = 95.9%–98.4%) and 99.0% (95% CI = 98.6%–99.2%), respectively, and the area under the curve is 0.975 (95% CI = 0.964–0.986) in the validation set. Hence, the development of a real-time robust detection system for colorectal neoplasms is considered to significantly reduce the risk of missed lesions during colonoscopy. Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, and solutions are critically needed.
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