提高内镜精度:人工智能在现代胃肠病学中的作用
Aanuoluwapo Clement David-Olawade1, Nicholas Aderinto2, Eghosasere Egbon3
1Endoscopy Unit, Glenfield Hospital, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom.
概括
人工智能通过提高病变检测和分类精度来增强胃肠道内镜,在许多情况下超过了人类的性能. 成功实施需要解决数据质量,工作流程整合和改善患者结果的监管挑战.
科学领域:
- 医疗技术
- 医学的人工智能
- 胃肠病学
背景情况:
- 内镜是胃肠道诊断的黄金标准,但由于内镜师的技能变化而受到限制.
- 错过的病变和不一致的患者护理是当前内镜实践中的重大挑战.
- 人工智能 (AI) 为提高内镜诊断精度和程序结果提供了一个潜在的解决方案.
研究的目的:
- 审查人工智能目前在内镜中的应用,包括图像分析,病变检测和分类.
- 评估人工智能对临床实践的影响,并确定实施挑战.
- 探索人工智能的未来发展方向.
主要方法:
- 在PubMed,Google Scholar和IEEE Xplore进行了全面的文献搜索.
- 在2010年1月至2024年12月期间发表的专注于内镜人工智能的研究被选中.
- 关键词包括"人工智能"",内镜"",胃肠疾病"",图像分析"和"损伤检测".
主要成果:
- 与人类内镜相比,人工智能系统的检测率更高,具有较高的灵敏度和特异性.
- 卷积神经网络擅长实时识别和分类病变, 区分良性和恶性生长.
- 人工智能通过自动报告和高级培训工具优化内镜工作流程.
结论:
- 人工智能整合显著提高内镜诊断准确性和效率.
- 成功实施需要解决数据质量,工作流集成和监管方面的限制.
- 人工智能,个性化医疗和远程医疗的未来进展预计将进一步改善内镜实践和患者的结果.
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