Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	107528
Country	Indonesia

Category	Gastroenterology & Hepatology
Manuscript Type	Observational Study
Article Title	Diagnostic value of artificial intelligence computer assisted diagnosis (computer assisted diagnosis eye function) for colorectal polyps
Manuscript Source	Unsolicited Manuscript
All Author List	Hendra Asputra, Hasan Maulahela, Achmad Fauzi, Cleopas M Rumende, Amanda Pitarini, Nina Kemala Sari and Hamzah Shatri
Funding Agency and Grant Number
Corresponding Author	Hendra Asputra, MD, Division of Gastroenterology, Pancreatobiliary and Digestive Endoscopy, Department of Internal Medicine, Dr. Cipto Mangunkusumo Hospital, Jl. Diponegoro No. 71, Jakarta Pusat, Pekanbaru 28125, Riau, Indonesia. hendraasputra13@gmail.com
Key Words	Artificial intelligence; Computer assisted diagnosis eye function; Colorectal polyps; Inflammatory bowel disease; Artificial intelligence assisted
Core Tip	Colonoscopy is currently the gold standard for screening colorectal polyp. However, the miss rate remains high, and the adenoma detection rate and polyp detection rate remain low. The risk factors included patients, operators, and the tools used. The use of artificial intelligence (AI) in colonoscopy has gained popularity because it helps endoscopists detect and characterise polyps. This cross-sectional study was conducted at the Gastrointestinal Endoscopy Center of Dr. Cipto Mangunkusumo Hospital in January–May 2024 on adult patients with suspected colorectal polyps. Based on the study results, the overall performance of the AI (computer assisted diagnosis eye function) showed a sensitivity of 79.17%, specificity of 75.00%, positive predictive value of 89.06%, negative predictive value of 58.33%, and accuracy of 78.00%.
Citation	Asputra H, Maulahela H, Fauzi A, Rumende CM, Pitarini A, Sari NK, Shatri H. Diagnostic value of artificial intelligence computer assisted diagnosis (computer assisted diagnosis eye function) for colorectal polyps. Artif Intell Gastroenterol 2025; In press

Received	2025-03-26 02:29
Peer-Review Started	2025-03-26 02:29
To Make the First Decision
Return for Revision	2025-04-01 13:03
Revised	2025-04-14 13:14
Second Decision	2025-10-13 02:45
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-10-13 12:32
Articles in Press	2025-10-13 12:32
Publication Fee Transferred	2025-04-18 14:52
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Typeset the Manuscript

ISSN	2644-3236 (online)
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