人工智能辅助的实时鼻癌诊断模型提高了鼻科医生的表现:一项前性的多读者研究
Rui He1,2, Pengyu Jie3, Zhangfeng Wang1,2
1Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China.
Annals of medicine
|February 3, 2026
概括
人工智能 (AI) 在内镜检查期间显著改善了鼻癌 (NPC) 检测. 人工智能工具提高了诊断的准确性和效率,特别是对于实习生来说,有助于早期识别癌症.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 鼻癌 (NPC) 诊断是具有挑战性的,因为鼻的解剖学和依赖视觉内镜解释.
- 延迟检测和不必要的活检是常见的,强调了需要改进的诊断工具.
- 人工智能对NPC临床诊断表现的现实影响尚不清楚.
研究的目的:
- 评估人工智能辅助对临床医生的诊断绩效对鼻癌 (NPC) 检测的影响.
- 评估AI对诊断准确度,灵敏度,特异性和解释时间的影响.
- 调查AI在不同临床医生经验水平的好处.
主要方法:
- 这是一项前性多读者研究,涉及47名临床医生 (专家,住院医生,实习生).
- 参与者在两个会议中解释了200张鼻内镜图像 (100NPC,100良性):无助和人工智能辅助 (NPC-SDNet).
- 一个为期4周的洗期将这些会议分开.
主要成果:
- 人工智能辅助显著提高了整体诊断准确度 (73.6%至85.6%),灵敏度 (76.1%至90.1%) 和特异性 (69.9%至79.1%).
- 在实习生和实习生中观察到的最大改善.
- 人工智能集成将中位翻译时间减少了40%以上 (1411.7秒到818.5秒).
结论:
- 人工智能辅助的鼻内镜显著提高了NPC检测的诊断准确性,效率和一致性.
- 人工智能工具提供了巨大的好处,特别是对经验较少的临床医生来说.
- 支持实时AI的临床集成,以标准化NPC诊断性能.
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