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Old Dogs Can Learn New Tricks: Artificial Intelligence Improves Adenoma Detection Rates in Screening Colonoscopies in Experienced Endoscopists.

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Diseases of the colon and rectum 📖 저널 OA 5.7% 2021: 0/5 OA 2022: 0/1 OA 2023: 0/1 OA 2025: 0/7 OA 2026: 3/25 OA 2021~2026 2026 Colorectal Cancer Screening and Dete
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PubMed DOI OpenAlex 마지막 보강 2026-05-01
OpenAlex 토픽 · Colorectal Cancer Screening and Detection AI in cancer detection COVID-19 diagnosis using AI

Cholyway RM, Rossi AJ, Herman KA, Kann BR, Kethman WC, Kay DI

📝 환자 설명용 한 줄

[BACKGROUND] A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.02

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↓ .bib ↓ .ris
APA Renee Cholyway, Alexander J. Rossi, et al. (2026). Old Dogs Can Learn New Tricks: Artificial Intelligence Improves Adenoma Detection Rates in Screening Colonoscopies in Experienced Endoscopists.. Diseases of the colon and rectum. https://doi.org/10.1097/DCR.0000000000004235
MLA Renee Cholyway, et al.. "Old Dogs Can Learn New Tricks: Artificial Intelligence Improves Adenoma Detection Rates in Screening Colonoscopies in Experienced Endoscopists.." Diseases of the colon and rectum, 2026.
PMID 41919624 ↗

Abstract

[BACKGROUND] A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use of artificial intelligence has emerged to assist with the identification of adenomas.

[OBJECTIVE] Evaluating if adopting artificial intelligence-powered computer-aided detection systems in colonoscopy will increase the adenoma detection rate, with the greatest increase seen among low-volume and junior endoscopists.

[DESIGN] A retrospective review compared the adenoma detection rate before and after computer-aided detection in a single-center high-volume endoscopy practice, including both colorectal surgeons and gastroenterologists with a wide variety of experience.

[SETTING] Single tertiary referral institution between April 2023 and August 2023, and April 2024 and August 2024.

[PATIENTS] Endoscopists board-certified in colorectal surgery or gastroenterology.

[INTERVENTION] Incorporation of computer-aided detection software to colonoscopy equipment.

[MAIN OUTCOME MEASURE] Adenoma detection rate.

[RESULTS] Data from 9 colorectal surgeons and 15 gastroenterologists were included. A total of 2,327 colonoscopies were performed over the 10 months - 1,285 pre-computer-aided detection and 1,042 post-computer-aided detection. The overall mean adenoma detection rate significantly increased from 53.9% to 61.3% ( p = 0.02). Colorectal surgeons had a statistically significant increase in adenoma detection rate from 49% to 62% ( p = 0.02), but gastroenterologists did not (56.9% to 60.8%, p = 0.15). Of 12 senior and 12 junior endoscopists, the seniors had a statistically significant increase ( p = 0.02) from 51.7% to 59.6%, while juniors did not (56.2% to 62.9%, p = 0.12). From 12 high-volume and 12 low-volume endoscopists, the high-volume group had a statistically significant increase (51.3% to 59.4%, p = 0.01), but the low-volume group did not (56.5% to 63.1%, p = 0.13).

[LIMITATIONS] Single institution, limited time of study to show if increased adenoma detection rate will impact overall colorectal cancer incidence.

[CONCLUSIONS] Computer-aided detection in colonoscopy correlated with increased adenoma detection rate for experienced endoscopists. See Video Abstract .

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반