下一代助产士支持:设计人工智能 (AI) 增强的移动应用程序,用于怀孕风险分类和对孕产妇和新生儿结果的临床决策支持
Seeta Devi1, Akshay Kushawaha2, Divya Shah2
1Symbiosis College of Nursing (SCON), Symbiosis International Deemed University (SIDU), Pune, India.
Birth (Berkeley, Calif.)
|December 9, 2025
概括
这项研究开发了一个人工智能驱动的移动应用程序,以帮助助产士评估农村地区的产前风险. 该系统准确地识别高风险怀孕,改善及时干预和母亲新生儿的结果.
科学领域:
- 数字健康数字健康
- 孕产妇医疗保健 孕产妇医疗保健
- 人工智能在医学中的应用
背景情况:
- 农村地区医疗专业人员数量有限,阻碍了有效的患者治疗.
- 快速产前风险评估对于改善资源有限的环境中的怀孕护理至关重要.
研究的目的:
- 开发和评估一个创新的数字系统,帮助助产士识别产前风险.
- 协助临床决策,特别是在农村产科医院.
主要方法:
- 开发了一个智能手机应用程序,利用人工智能和阿尔伯塔修改的围产期风险评分.
- 一项试点研究涉及培训助产士,并在农村初级卫生中心选1010名孕妇.
- 数据被收集,与Firebase集成,并通过人工智能模型进行风险分类处理.
主要成果:
- 该应用程序有效地分类了产前病例:37.33%低风险,37.82%中等风险,24.85%高风险.
- 高风险病例被转诊;助产士管理低风险和中等风险病例,与医务人员合作.
- 该系统使用梯度提升算法预测新生儿死亡的准确率达到了99.0%.
结论:
- 一个集成的安卓应用程序与人工智能产前风险评估系统增强了助产士的技能.
- 这导致了对孕妇的及时干预,有助于改善分娩结果.
- 数字系统显示了改善服务不足地区患者护理的潜力.
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