Asia-Pacific consensus on the use of artificial intelligence in colorectal cancer screening and surveillance
Issued Date
2025-01-01
Resource Type
eISSN
29497086
Scopus ID
2-s2.0-105008580144
Journal Title
Igie
Rights Holder(s)
SCOPUS
Bibliographic Citation
Igie (2025)
Suggested Citation
Koh F.H., Li J.W., Wong S.H., Lee J., John S., Chong V.H., Wu K.c., Lui R., Ng S.S.M., Lam T.Y.T., Lau L.H.S., Makharia G.K., Abdullah M., Maulahela H., Kobayashi N., Sekiguchi M., Byeon J.S., Kim H.s., Lee Y.Y., Chiu H.M., Wu I.C., Leelakusolvong S., Sharma P., Lieberman D., Sung J.J.Y. Asia-Pacific consensus on the use of artificial intelligence in colorectal cancer screening and surveillance. Igie (2025). doi:10.1016/j.igie.2025.04.001 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/111039
Title
Asia-Pacific consensus on the use of artificial intelligence in colorectal cancer screening and surveillance
Author's Affiliation
National Taiwan University
Chinese University of Hong Kong
Yonsei University
Oregon Health & Science University
All India Institute of Medical Sciences, New Delhi
Universitas Indonesia
Air Force Medical University
University of Ulsan College of Medicine
University of Kansas School of Medicine
Kaohsiung Medical University Chung-Ho Memorial Hospital
National Cancer Center Hospital
National University Health System
Tan Tock Seng Hospital
School of Medical Sciences, Universiti Sains Malaysia
Lee Kong Chian School of Medicine
Universitas Indonesia, RSUPN Dr. Cipto Mangunkusumo
Changi General Hospital
Gold Coast University Hospital
Department of Medicine
Hong Kong Hospital Authority
Sengkang General Hospital
Raja Isteri Pengiran Anak Saleha Hospital
Institute for Health Innovation & Technology
Siriraj Piyamaharajkarun Hospital
Chinese University of Hong Kong
Yonsei University
Oregon Health & Science University
All India Institute of Medical Sciences, New Delhi
Universitas Indonesia
Air Force Medical University
University of Ulsan College of Medicine
University of Kansas School of Medicine
Kaohsiung Medical University Chung-Ho Memorial Hospital
National Cancer Center Hospital
National University Health System
Tan Tock Seng Hospital
School of Medical Sciences, Universiti Sains Malaysia
Lee Kong Chian School of Medicine
Universitas Indonesia, RSUPN Dr. Cipto Mangunkusumo
Changi General Hospital
Gold Coast University Hospital
Department of Medicine
Hong Kong Hospital Authority
Sengkang General Hospital
Raja Isteri Pengiran Anak Saleha Hospital
Institute for Health Innovation & Technology
Siriraj Piyamaharajkarun Hospital
Corresponding Author(s)
Other Contributor(s)
Abstract
Background and Aims: Artificial intelligence (AI)-assisted colonoscopy has been widely investigated for colorectal adenoma and cancer detection and characterization. However, clinical guidance on its use in colorectal cancer (CRC) screening and surveillance is lacking. In this study, we developed consensus guiding when and how to use AI-assisted colonoscopy in the daily practice of screening and surveillance of colorectal neoplasia. Methods: Experts from 12 Asian-Pacific countries and regions together with 4 international experts developed a set of consensus statements based on existing clinical evidence using the modified Delphi process. Results: Based on existing evidence, computer-assisted detection should be evaluated for use if available and deemed cost-effective as an adjunct to conventional colonoscopy for CRC screening. Computer-assisted diagnosis may be used for characterization of polyps but is not yet considered sufficient to determine if a polyp is neoplastic and needs to be removed. Computer-assisted quality assurance is generally welcome to improve the quality of colonoscopy. Early engagement of patients and nurses and training of endoscopists to use AI-assisted colonoscopy are crucial for the successful implementation. Conclusions: More validation studies on AI-assisted colonoscopy need to be done while AI technologies continue to improve.