人工智能对眼科医生对格洛科马的判断的影响
Kenji Kashiwagi1, Masahiro Toyoura2, Xiaoyang Mao2
1Department of Ophthalmology, University of Yamanashi Faculty of Medicine, Chuo, Japan.
PloS one
|April 16, 2025
概括
人工智能 (AI) 在 fundus 照片中提高了对玻璃眼的检测准确度,特别是在学员身上. 在这里,我们可以看到AIAIAI.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 诊断成像 诊断成像 诊断成像
背景情况:
- 青光眼的诊断严重依赖于解释 fundus 照片.
- 人工智能 (AI) 在医疗诊断中的整合正在迅速发展.
- 了解AI对医生决策的影响对于临床采用至关重要.
研究的目的:
- 为了评估人工智能 (AI) 如何影响眼科医生对青光眼的存在和严重程度的判断,使用 fundus 照片.
- 评估人工智能对诊断准确度和决策时间在模拟眼查任务中的影响.
主要方法:
- 45名眼科医生 (实习生和专家) 在两个试验中评估了120张 fundus 照片.
- 第二次试验包括AI判断,其中30%是故意不正确的.
- 记录了医生的诊断准确度,决策时间和对眼科人工智能的意见.
主要成果:
- 在第二次试验中,整体正确反应率从48.4%显著提高到59.6% (P < 0.001).
- 实习生表现出比专家 (8.6%) (P = 0.04) 更大的改善 (14.2%).
- 正确的AI判断率 (63.9%) 与不正确的AI判断率 (47.9%) (P < 0.0001) 相比,正确的AI判断率更高;当AI不正确时,决策时间增加.
结论:
- 人工智能系统的输出显著影响医生在基于 fundus 摄影的玻璃眼瘤检测中的判断.
- 人工智能的影响在缺乏经验的医生 (实习生) 中更为明显.
- 人工智能可以提高诊断准确性,但需要仔细考虑其对临床决策的潜在影响.
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