在多囊卵巢综合征管理中的人工智能:过去,现在和未来
Jinyuan Wang1, Ruxin Chen2, Haojun Long3
1Department of Reproduction and Genetics, The First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, 650032, Yunnan Province, China.
La Radiologia medica
|June 23, 2025
概括
人工智能 (AI) 通过改进的预测,诊断和分类来增强多囊性卵巢综合征 (PCOS) 管理. 本综述概述了人工智能应用和人工智能增强数字医疗生态系统的框架,用于PCOS预防和整体护理.
科学领域:
- 生殖内分泌学 生殖内分泌学
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 集成为管理多囊卵巢综合征 (PCOS) 的效率,解释性和概括性提供了显著的改进.
- 基于人工智能的分析正在改变PCOS管理,特别是在预测,诊断,分类和对并发症的查方面.
研究的目的:
- 创建一个全面的人工智能驱动的干预对多囊性卵巢综合征 (PCOS) 的库存.
- 探索与PCOS管理相关的各种临床环境中的AI应用.
主要方法:
- 对PCOS人工智能应用的当前文献进行系统审查.
- 分析AI在PCOS管理中的预测,诊断,分类和查中的作用.
- 探索整合数字健康技术,以实现人工智能增强的PCOS医疗生态系统.
主要成果:
- 在PCOS管理中的AI应用主要集中在预测,诊断,分类和查上.
- 确定了人工智能增强数字医疗生态系统的潜力,用于PCOS预防和整体管理.
- 讨论了PCOS人工智能系统临床转换的战略途径.
结论:
- 这一系统性审查巩固了PCOS管理人工智能的最新进展.
- 已经开发了一个数字医疗保健框架,用于PCOS的实际临床管理,并结合了AI.
- 人工智能的进步涵盖了潜在的PCOS并发症的预测,诊断,分类和查.
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