对于患有黄斑病的患者来说,是否可以接受人工智能做出重新治疗决策
Sarah Clinton1, Alexander J E Foss2, Peter S Bloomfield1
1Macular Society, Crown Chambers, South Street, Andover, Hampshire UK.
Eye open
|February 4, 2026
概括
患有黄斑疾病的患者发现人工智能 (AI) 可接受用于视网膜图像分析. 人工智能决策的准确性和验证对于临床环境中患者接受至关重要.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 系统越来越多地被开发用于分析视网膜图像以检测疾病.
- 这些人工智能工具旨在帮助临床决策,特别是在像黄斑病这样的疾病中.
- 患者接受人工智能用于诊断视网膜疾病对于其实施至关重要.
研究的目的:
- 评估患者对人工智能驱动的决策在黄斑病的背景下是否可接受.
- 确定影响患者对视网膜图像评估中的AI偏好的关键因素.
主要方法:
- 通过"黄斑社会"通讯录招募的181名参与者进行了联合分析.
- 参与者根据包括人类与人工智能决策,错误率,后续时间和双重阅读协议在内的因素对场景进行了排名.
- 场景以随机顺序呈现,以避免偏见.
主要成果:
- 对患者来说,错误率和结果验证是最重要的因素 (p < 0.0001).
- 参与者对人类或人工智能读者没有偏好,这表明人工智能是可以接受的.
- 一个不显著的趋势表明人们更喜欢快速的交付时间.
结论:
- 患有黄斑疾病的患者正在接受人工智能用于视网膜图像评估.
- 人工智能驱动的诊断决策的准确性和可靠性是患者的主要关注点.
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