在产科中机器学习和疾病预测.
Zara Arain1, Stamatina Iliodromiti2, Gregory Slabaugh3
1Centre for Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Current research in physiology
|June 16, 2023
概括
机器学习和人工智能正在通过改善胎儿健康评估和预测诸如子前期和早产等疾病来改变产科护理. 这些先进的工具提高了患者的安全性和产妇护理的临床实践.
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:
- 机器学习 (ML) 和人工智能 (AI) 越来越多地融入医疗保健.
- 产科的预测工具利用电子健康记录,成像和数字设备.
研究的目的:
- 审查用于产科护理的最新ML工具和算法.
- 探索人工智能在评估胎儿健康和诊断产科疾病方面的应用.
- 讨论ML在改善产前,产后和整体产妇护理安全方面的作用.
主要方法:
- 审查目前关于妇产科ML和AI的文献.
- 探索使用多种数据源进行预测模型的算法.
- 分析用于诊断成像和功能评估 (超声波,MRI) 的智能工具.
主要成果:
- 机器学习工具在预测产科疾病 (孕期糖尿病,子宫前,早产,胎儿生长限制) 中表现有前途.
- 人工智能增强了胎儿异常和功能评估的自动诊断成像.
- 智能MRI测序有助于产前诊断和早产风险降低.
结论:
- 机器学习和人工智能正在彻底改变产科和产妇护理,提高诊断准确性和患者体验.
- 这些技术提高了产后护理和早期并发症检测的安全标准.
- 持续开发人工智能工具对于推进患者安全和产科临床实践至关重要.
关键词:
心脏图解图 (Cardiotocography) 是一种心脏图解仪.心声回声扫描 (Echocardiography) 是一种心声回声扫描.孕期糖尿病 孕期糖尿病机器学习 机器学习磁共振成像技术 磁共振成像技术产科 产科 产科 产科 产科孕产妇产前症 孕产妇产前症过早分娩 过早分娩是什么超声波超声波是指超声波的使用.更多相关视频
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