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10.1186/s12876-025-04011-w

http://scihub22266oqcxt.onion/10.1186/s12876-025-04011-w
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suck abstract from ncbi


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pmid41131470
      BMC+Gastroenterol 2025 ; 25 (1 ): 755
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  • Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls #MMPMID41131470
  • Ham DY ; Lee JG ; Ahn CI ; Kae SH ; Jang HJ
  • BMC Gastroenterol 2025[Oct]; 25 (1 ): 755 PMID41131470 show ga
  • BACKGROUND/AIMS: This study aimed to investigate whether a real-time artificial intelligence (AI)-assisted polyp detection system can improve adenoma detection rates (ADRs) in real-world colonoscopy practice. METHODS: This single-center, retrospective, propensity score-matched study collected data from consecutive patients who underwent colonoscopy-either AI-assisted or standard colonoscopy- between March 2023 and February 2024. Propensity score matching was conducted to adjust for baseline characteristics across the groups. RESULTS: During the study period, 1,085 patients who underwent colonoscopy were eligible for inclusion. After propensity score matching, 474 patients who underwent AI-assisted colonoscopy and 474 who underwent standard colonoscopy were included in the primary analysis. The ADR was significantly higher in the AI-assisted colonoscopy group than in the standard colonoscopy group (35.9% vs. 26.4%; p?=?0.002). Additionally, the number of adenomas detected per colonoscopy was significantly higher in the AI-assisted group than in the standard group (0.69?±?1.22 vs. 0.43?±?0.91; p?
  • |*Adenoma/diagnosis/diagnostic imaging [MESH]
  • |*Artificial Intelligence [MESH]
  • |*Colonic Neoplasms/diagnosis [MESH]
  • |*Colonic Polyps/diagnosis/diagnostic imaging [MESH]
  • |*Colonoscopy/methods [MESH]
  • |*Colorectal Neoplasms/diagnosis/diagnostic imaging [MESH]
  • |Aged [MESH]
  • |Female [MESH]
  • |Humans [MESH]
  • |Male [MESH]
  • |Middle Aged [MESH]
  • |Propensity Score [MESH]


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