产科人工智能:当前的应用,机遇和临床实施挑战
Eileen Deuster1, Asma Khalil2,3,4
1Department of Obstetrics and Perinatal Medicine, Goethe University Frankfurt and University Hospital Frankfurt am Main, Germany.
Clinical obstetrics and gynecology
|December 23, 2025
概括
人工智能 (AI) 在产科方面表现有前途,在某些任务中与临床医生的准确性相匹配. 然而,像偏见和验证这样的挑战阻碍了现实世界的使用,需要多样化的测试和明确的法规.
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:
- 人工智能 (AI) 越来越多地应用于产科,增强诊断成像,风险预测和临床决策.
- 深度学习算法展示了在特定产科应用中与经验丰富的临床医生竞争的诊断准确性.
研究的目的:
- 审查目前在产科的AI应用,包括胎儿生物识别,异常检测,并发症预测和产后监测.
- 确定在临床产科实践中采用人工智能的持续技术,伦理和实施障碍.
主要方法:
- 对人工智能在产科应用的文献综述.
- 分析人工智能在胎儿生物识别,异常检测,风险预测和胎儿监测方面的表现.
- 检查挑战,包括外部验证,算法偏见和实施障碍.
主要成果:
- 人工智能在自动化胎儿生物识别和结构异常检测方面表现出高准确度.
- 人工智能在预测妊娠并发症和产后胎儿监测方面显示出潜力.
- 仍然存在重大挑战,包括跨多元人群的有限外部验证和固有的算法偏见.
结论:
- 人工智能对产科实践具有变革性的潜力,但面临着关键的实施差距.
- 应对挑战需要多中心验证,可解释的AI (XAI) 方法和强大的监管框架.
- 未来的努力必须集中在确保公平,可靠的AI整合到常规产科护理中.
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