人工智能驱动的女性健康诊断方面的进步:当前应用和未来方向
1College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USA.
Diagnostics (Basel, Switzerland)
|December 11, 2025
概括
人工智能 (AI) 为妇产科 (OB/GYN) 的妇女健康诊断提供了显著的进步. 确保公平的发展和解决潜在的风险对于广泛的利益至关重要.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 医疗保健中的人工智能
- 妇女健康 技术 技术
背景情况:
- 从历史上看,妇女健康创新缺乏持续的资金和实施.
- 人工智能 (AI) 和机器学习 (ML) 为产科和妇科 (OB/GYN) 诊断带来了新的机遇和挑战.
研究的目的:
- 在产科医生诊断中审查有前途的AI应用.
- 评估人工智能对妇女健康的潜在影响和挑战.
主要方法:
- 从2018年1月到2025年8月,对同行评审的文献和临床实例进行叙述性审查.
- 选择优先考虑了OB/GYN相关性,临床验证,结果影响和领域多样性.
主要成果:
- 在成像,实验室诊断,患者监测和决策支持方面确定了十个有前途的AI应用.
- 例如,人工智能增强的胎儿超声波,子宫检查,孕前预测,非侵入性子宫内膜异位症检测,远程母胎监测和妇科瘤学中的人工智能决策支持.
结论:
- 人工智能对女性健康诊断具有变革性的潜力.
- 关键考虑因素包括解决偏见,隐私,监管框架,报销和工作流集成.
- 以公平为重点的发展和多样化的数据集对于广泛的利益至关重要.
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