Panda K, Pati GK, Dash DP. Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate. World J Gastroenterol 2025; 31(39): 110886 [PMID: 41180793 DOI: 10.3748/wjg.v31.i39.110886]
Corresponding Author of This Article
Kalpana Panda, MD, Associate Professor, Division of Pediatric Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Kalinga Nagar, Bhubaneshwar 751003, Odisha, India. drkalpanapanda@gmail.com
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Gastroenterology & Hepatology
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letter
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Panda K, Pati GK, Dash DP. Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate. World J Gastroenterol 2025; 31(39): 110886 [PMID: 41180793 DOI: 10.3748/wjg.v31.i39.110886]
World J Gastroenterol. Oct 21, 2025; 31(39): 110886 Published online Oct 21, 2025. doi: 10.3748/wjg.v31.i39.110886
Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate
Devi P Dash, Girish K Pati, Kalpana Panda
Kalpana Panda, Division of Pediatric Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Bhubaneshwar 751003, Odisha, India
Girish K Pati, Department of Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Bhubaneshwar 751003, Odisha, India
Devi P Dash, Department of Critical Care Medicine, Kalinga Institute of Medical Sciences, Bhubaneshwar 751024, Odisha, India
Author contributions: Panda K and Pati GK designed the overall concept and outline of the manuscript; Panda K performed the literature search and wrote the initial draft; Pati GK and Dash DP provided the necessary intellectual inputs, reviewed, and edited the manuscript. All the authors have read and approved the final version of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Kalpana Panda, MD, Associate Professor, Division of Pediatric Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Kalinga Nagar, Bhubaneshwar 751003, Odisha, India. drkalpanapanda@gmail.com
Received: June 17, 2025 Revised: July 23, 2025 Accepted: September 18, 2025 Published online: October 21, 2025 Processing time: 125 Days and 23.7 Hours
Core Tip
Core Tip: Artificial intelligence, particularly computer-aided detection, is increasingly being integrated into colonoscopy to improve neoplasia detection and reduce human error. While most prior meta-analyses have focused on adenoma detection rate, this systematic review and meta-analysis emphasize adenoma miss rate as a more sensitive and clinically relevant outcome. By analyzing five randomized-controlled trials involving 1624 patients, the study demonstrates that computer-aided detection-assisted colonoscopy significantly reduces adenoma miss rate, particularly for small-sized adenomas and sessile serrated lesions. These findings support broader adoption of artificial intelligence in colonoscopy, though real-world validation and long-term outcome studies are still needed to confirm its sustained clinical impact.
