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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Nov 8, 2025; 6(3): 107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Published online Nov 8, 2025. doi: 10.35712/aig.v6.i3.107528
Diagnostic value of artificial intelligence computer-assisted diagnosis (computer assisted-diagnosis eye function) for colorectal polyps
Hendra Asputra, Hasan Maulahela, Achmad Fauzi, Amanda Pitarini, Division of Gastroenterology, Pancreatobiliary and Digestive Endoscopy, Department of Internal Medicine, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia
Hendra Asputra, Department of Internal Medicine, Faculty of Medicine, University of Riau/RSUD Arifin Achmad, Pekanbaru 28125, Indonesia
Cleopas M Rumende, Division of Respirology and Critical Medicine, Department of Internal Medicine, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia
Nina Kemala Sari, Division of Geriatrics, Department of Internal Medicine, Dr. Cipto Mang
Hamzah Shatri, Division of Psychosomatic and Palliative Care, Department of Internal Me
Author contributions: Asputra H conceived the presented idea, developed the theory, wrote the manuscript, performed the calculations, developed the theoretical formalism, performed the analytic calculations and the numerical simulations, and wrote the manuscript with input from all authors; Asputra H and Maulahela H verified the analytical methods, carried out the experiment, contributed to the final version of the manuscript, designed the model and the computational framework, and analyzed the data; Asputra H, Pitarini A, and Sari NK carried out the implementation; Maulahela H supervised the project; Fauzi A encouraged Asputra H to investigate gastroenterohepatology in artificial intelligence and supervised the findings of this work; Sari NK and Shatri H conceived the study, and were in charge of overall direction and planning; All authors contributed to the design and implementation of the research, the analysis of the results and the writing of the manuscript, conceived and planned the study, provided critical feedback and helped shape the research, analysis and manuscript, discussed the results, and contributed to the final manuscript.
Institutional review board statement: The study has received approval from the Health Research Ethics Committee at the Faculty of Medicine, University of Indonesia – Dr. Cipto Mangunkusumo Hospital, No. KET.272/UN2.F1/ETIK/PPM.00.02/2024.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
STROBE statement: The authors have read the STROBE Statement–checklist of items, and the manuscript was prepared and revised according to the STROBE Statement–checklist of items.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hendra Asputra, MD, Division of Gastroenterology, Pancreatobiliary and Digestive Endoscopy, Department of Internal Medicine, Dr. Cipto Mangunkusumo Hos
Received: March 26, 2025
Revised: April 14, 2025
Accepted: October 13, 2025
Published online: November 8, 2025
Processing time: 226 Days and 16.7 Hours
Revised: April 14, 2025
Accepted: October 13, 2025
Published online: November 8, 2025
Processing time: 226 Days and 16.7 Hours
Core Tip
Core Tip: Colonoscopy is currently the gold standard for screening colorectal polyps. 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 in colonoscopy has gained popularity because it helps endoscopists detect and characterize polyps. This cross-sectional study was conducted on adult patients with suspected colorectal polyps. The overall performance of the artificial intelligence (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%.