人工智能驱动的移动健康领域的最新进展 增强医疗保健-叙述洞察最新进展
Sandra Morelli1, Daniele Giansanti1
1Centro IATIS, ISS, via Regina Elena 299, 00161 Rome, Italy.
Bioengineering (Basel, Switzerland)
|January 28, 2026
概括
移动健康 (mHealth) 应用中的人工智能 (AI) 正在增长,特别是在心理健康和慢性疾病方面. 对于这些人工智能驱动工具的监管,安全和问责制仍然存在挑战.
科学领域:
- 移动卫生技术 移动卫生技术
- 医疗保健中的人工智能
- 数字健康应用程序 数字健康应用程序
背景情况:
- 广泛采用智能手机和技术进步,加快了COVID-19大流行,促进了AI在mHealth中的整合.
- 人工智能驱动的应用程序现在在实时健康监测,早期疾病检测和个性化治疗方面发挥着至关重要的作用.
研究的目的:
- 审查医疗保健移动应用中人工智能的现有证据.
- 专注于临床趋势,实际影响和未来的研究方向.
主要方法:
- 基于方法严格的优先研究,主要使用系统性审查.
- 包括关于新兴趋势的额外文献,应用严格的质量和相关性选.
- 专注于医疗保健应用,不包括纯计算或计算机科学框架.
主要成果:
- 分析了56项二级研究,揭示了大流行后的人工智能应用在心理健康,慢性护理和预防服务方面的趋势.
- 发现很少有基于人工智能的mHealth应用程序被正式归类为医疗设备,这表明监管监督存在差距.
- 经常报告的伦理问题包括算法透明度,临床责任和数据保护.
结论:
- 人工智能显著影响移动健康,但监管,安全和问责制方面的挑战仍然存在.
- 强大的整合需要更清晰的治理,验证标准和跨学科的合作.
- 解决道德问题和监管差距对于推进医疗保健中的AI至关重要.
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