在结肠镜检查期间实时检测结肠直肠多的人工智能算法:一篇综述
Meng-Yuan Nie1,2, Xin-Wei An1,2, Yun-Can Xing3
1Center for Advanced Laser Technology, Hebei University of Technology Tianjin, China.
American journal of cancer research
|December 11, 2024
概括
人工智能 (AI) 通过实时检测结肠直肠多,增强了结肠镜的功能. 这种计算机辅助诊断 (CAD) 提高了准确性,并有助于预防结直肠癌 (CRC).
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:
- 大肠直肠癌 (CRC) 是全球领先的癌症.
- 在结肠镜检查期间早期检测和切除多是预防CRC的关键.
- 人工智能技术的进步为结肠镜聚识别提供了新的工具.
研究的目的:
- 审查基于人工智能的算法,以实时检测结直肠多.
- 专注于深度学习算法,以优化聚合物检测效率和准确性.
- 讨论AI在这个领域的挑战和未来前景.
主要方法:
- 审查人工智能算法,特别是深度学习模型.
- 专注于计算机辅助诊断 (CAD) 以实时定位多.
- 分析旨在协助内镜师设计的系统.
主要成果:
- 人工智能,特别是深度学习,在结肠镜检查期间显示出对实时聚检测的希望.
- 计算机辅助诊断 (CAD) 系统可以作为内镜医生可靠的参考.
- 人工智能集成可以导致更准确的多重体诊断和治疗.
结论:
- 基于人工智能的算法正在显著推进实时结直肠多检测.
- 深度学习方法是提高聚识别效率和正确性的关键.
- 人工智能具有通过改善结肠镜检查结果来改善结肠直肠癌预防的巨大潜力.
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