人工智能对改善结肠镜检测期间多和腺瘤检测率的影响:系统性审查和元分析
Randy Adiwinata1, Kevin Tandarto2, Jonathan Arifputra1
1Department of Internal Medicine, Faculty of Medicine, Universitas Sam Ratulangi/Prof. dr. R. D. Kandou Hospital, Manado, Indonesia.
Asian Pacific journal of cancer prevention : APJCP
|November 29, 2023
概括
人工智能 (AI) 通过增加聚检测率 (PDR) 和腺瘤检测率 (ADR) 来显著改善结肠镜. 这种人工智能集成提高了结肠镜查的质量,以预防结肠直肠癌.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 结肠镜对于通过检测和切除多体来预防结肠直肠癌至关重要.
- 结肠镜检查期间腺瘤的显著遗漏率需要改进检测方法.
- 人工智能 (AI) 正在探索,以增强在结肠镜检查期间的多体检测.
结论:
- 人工智能集成通过增强多和腺瘤检测,大大提高了结肠镜检查的质量.
- 人工智能辅助结肠镜在结肠直肠癌查和预防方面是一个有前途的进步.
- 进一步的研究可能会探索AI在常规结肠镜检查中的临床影响和成本效益.
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