在结肠镜检查期间AI和多体检测
Marco Spadaccini1,2, Maddalena Menini1,2, Davide Massimi1,2
1Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy.
人工智能 (AI) 计算机辅助检测 (CADe) 系统可以提高腺瘤检测率 (ADRs) 并降低结肠镜检查失误率,特别是在小息肉方面. 需要进一步的研究来评估对结直肠癌 (CRC) 减少的长期影响.
科学领域:
- 胃肠病学和医学成像学
- 人工智能在医学中的应用
背景情况:
- 有效的结肠镜对于结肠直肠癌 (CRC) 的预防至关重要,但腺瘤检测率 (ADR) 和遗漏病变存在重大挑战.
- 基于人工智能 (AI) 驱动的计算机辅助检测 (CADe) 系统正在成为增强在结肠镜检查期间多体识别的工具.
研究的目的:
- 审查CADe系统在改善不良反应和减少腺瘤错误率 (AMRs) 中的作用.
- 讨论CADe在结肠镜检查中的更广泛的临床影响和未来方向.
主要方法:
- 对评估人工智能驱动的CADe系统在结肠镜中的研究进行系统审查.
- 分析CADe在检测各种多类型方面的表现及其对ADR和AMR的影响.
主要成果:
- CADe系统始终改善ADR和减少AMR,特别是在微小的息肉.
- 目前CADe系统在检测晚期腺瘤或状状病变方面的有效性有限.
- 挑战包括潜在的运营商脱而出以及对算法改进的需求.
结论:
- CADe显示出在结肠镜检查期间标准化多重体检测质量的潜力.
- 对于CADe对CRC发病率和死亡率的长期影响需要进一步研究.
- 未来的研究应该专注于增强CADe技术,并评估其在减少全球CRC负担方面的有效性.
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