Innovation of colonoscopy practice with use of artificial intelligence

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K08403
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 53010:Gastroenterology-related
• Research Institution: Showa University
• Principal Investigator: Mori Yuichi 昭和大学, 医学部, 講師 (20459209)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 人工知能

Outline of Final Research Achievements

The aim of the project is to establish the value of artificial intelligence for polyp characterisation during colonoscopy. To achieve this goal, we conducted an international prospective study in collaboration with institutions in Japan, the UK, and Norway. Roughly 1300 patients were included in the study. We successfully proved that the use of AI could reduce the number of unnecessary polyp removal thanks to the increased confidence level of endoscopists who use the artificial intelligence tool during colonoscopy.

Free Research Field

消化器内科

Academic Significance and Societal Importance of the Research Achievements

世界初の大規模前向き臨床研究を実施したことにより、人工知能を用いることによって医師の診断確信度が上昇し、無駄なポリープ切除が減らせることを示せた。このデータは、今後人工知能を実臨床に導入していく上で非常に参考になるものであり、行政機関が保険償還の必要性等を考える際の参照データともなりうる。