弥合人工智能在母婴和产科护理中的缺口:揭示变革能力和挑战
Kalyan Tadepalli1, Abhijit Das2, Tanushree Meena2
1Sir HN Reliance Foundation Hospital, Girgaon, Mumbai, 400004, India; Artificial Intelligence & Data Science, Jio Institute, Navi Mumbai, 410206, India.
Computer methods and programs in biomedicine
|March 2, 2025
概括
人工智能 (AI) 在诊断和预测的孕产妇健康方面表现有前途. 处理数据,透明度和伦理问题对于临床使用和公共卫生利益至关重要.
科学领域:
- 产科和妇科 产科和妇科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 母胎健康包括母亲和儿童福祉的连续生理谱.
- 在这个领域,对人工智能 (AI) 的传统探索是有限的.
- 本综述涉及人工智能在孕产妇和胎儿健康中的应用.
研究的目的:
- 全面探索人工智能在孕产妇和胎儿健康中的应用.
- 检查人工智能在母胎健康连续性中的作用.
- 确定潜在的挑战,并为人工智能实施提出解决方案.
主要方法:
- 系统的文献搜索使用人工智能在产科和胎儿健康方面的研究.
- 分析用于预测,诊断和决策支持的AI技术.
- 检查人工智能在成像,电生理信号和电子健康记录中的应用.
主要成果:
- 人工智能在医学诊断和风险预测方面展示了潜力,提供了自动化和准确性.
- 挑战包括数据可用性,算法透明度和道德考虑.
- 为了有效的临床实施,需要迫切关注这些挑战.
结论:
- 对数据集的开放访问对于孕产妇和胎儿健康的公平进展至关重要.
- 整合负责任和可解释的AI是必不可少的.
- 解决伦理方面的考虑将最大限度地提高公共卫生效益.
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