虚拟医生处方未来:通过交互式临床决策支持进行诊断
Jan Benedikt Ruhland1, Johannes Wichmann2, Dmitry Degtyar3
1Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Düsseldorf, Germany.
Computers in biology and medicine
|August 21, 2025
概括
通过分析医疗数据, 提前发现疾病, 改善医疗服务. 它显示出远程健康监测和风险评估的前景,
科学领域:
- 生物医学工程
- 医疗保健中的人工智能
- 数字健康
背景情况:
- 医疗保健专业人员短缺,特别是在农村地区,限制了及时获得医疗护理的机会.
- 需要创新的解决方案来弥合医疗保健和疾病早期检测的差距.
研究的目的:
- 介绍和评估虚拟医生,一个用于医疗数据收集和人工智能驱动分析的自助式客.
- 评估该系统在早期发现2型糖尿病和皮肤癌的有效性.
- 测量虚拟医生在公众中的社会心理接受度.
主要方法:
- 使用非侵入性生物医学传感器开发分布式医疗数据采集系统.
- 使用两种预先训练的深度学习模型预测2型糖尿病和皮肤癌风险.
- 通过对2个用例中的1217名参与者的调查进行社会心理接受度评估.
主要成果:
- 人工智能模型的预测能力为0.729的糖尿病和0.81的皮肤癌.
- 对于常规查和抗生素处方,用户意图模型显示出显著的结果 (R2 ≥ 0. 604).
- 这项研究表明虚拟医生系统得到广泛接受.
结论:
- 虚拟医生系统提供了一个可行的解决方案,
- 虽然普遍接受,但在严重疾病查期间,清晰的沟通对于控制用户的焦虑至关重要.
- 这些发现支持在服务不足的地区整合人工智能远程健康监测解决方案.
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