在初始内镜培训中实施计算机辅助检测可以提高学员未来结肠镜检查的质量指标:一项回顾性队列研究
Zofia Orzeszko1, Tomasz Gach2, Sandra Necka3
1Department of Surgery, Faculty of Health Sciences, Jagiellonian University, Trynitarska 11 Street, 31-061, Krakow, Poland. zofia.orzeszko@uj.edu.pl.
经过人工智能 (AI) 培训的内镜师表现出卓越的结肠镜质量指标,包括更高的腺瘤检测率. 与传统方法相比,人工智能辅助培训显著提高了学员的表现.
科学领域:
- 医疗技术 医疗技术 医学技术
- 胃肠病学 胃肠病学
- 内镜培训 进行内镜培训
背景情况:
- 计算机辅助检测 (CADe) 系统越来越多地用于内镜师培训.
- 人工智能增强培训对内镜师未来绩效的影响尚不清楚.
- 这项研究评估了接受人工智能培训的内镜师与传统方法之间的质量指标.
研究的目的:
- 为了比较使用人工智能增强设备训练的内镜师与传统内镜的质量指标.
- 评估人工智能辅助培训对腺瘤检测率和其他质量指标的影响.
主要方法:
- 一项回顾性研究评估了6名经过CADe (AI组) 培训的内镜师与传统内镜 (对照组) 相比.
- 质量指标和横向扩散瘤 (LSTs) 检测率的比较.
- 分析包括6000名患者的人口统计和腔输管率比较.
主要成果:
- 经过人工智能培训的内镜医生有更长的禁用时间 (平均差异为0.8分钟).
- 在人工智能组中,腺瘤检测率 (ADR) 显著提高5.3%,伤检测率 (SDR) 提高5.4%.
- 人工智能培训增强了小型非颗粒型LST的检测,是高质量的ADR和SDR性能的一个因素.
结论:
- 在结肠镜中接受人工智能培训的内镜师超过了质量指南的目标.
- 传统的培训方法达到最低质量标准.
- 人工智能增强培训在培养熟练的内镜师方面提供了显著的优势.
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