高血压中的争议:使用人工智能用于HTN诊断和管理的论点的反面
Isaac Sekitoleko1, James Brian Byrd2
1Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe (I.S.).
Hypertension (Dallas, Tex. : 1979)
|September 24, 2025
概括
由于证据有限,高血压护理中的人工智能 (AI) 显示风险超过益处. 广泛采用人工智能需要在实施之前进行严格的临床试验,以确定安全性和有效性.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 为高血压诊断和管理提供了潜力.
- 然而,目前关于AI在高血压中的安全性和有效性的证据是有限的.
研究的目的:
- 检查与AI在高血压护理中过早实施相关的重大风险.
- 评估当前的证据基础,数据质量,监管格局和系统对高血压AI的准备.
主要方法:
- 对高血压AI现有证据的审查.
- 分析电子健康记录数据质量问题.
- 审查监管框架和医疗保健系统的准备情况.
主要成果:
- 对高血压的AI方法缺乏来自随机临床试验的有效性和安全性.
- 电子健康记录数据质量不佳,血压测量不准确.
- 监管框架和问责机制对于人工智能实施是不够的.
结论:
- 目前的证据不支持在高血压护理中广泛采用人工智能,因为存在重大风险.
- 在实施人工智能系统之前,需要严格的临床试验证据.
- 建议采取谨慎的方法,优先考虑患者安全和已证明的益处.
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