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卵巢储备功能与反应性评估

刘婧 万鹏程 全松

中国实用妇科与产科杂志2025,Vol.41Issue(12):1157-1161,5.
中国实用妇科与产科杂志2025,Vol.41Issue(12):1157-1161,5.DOI:10.19538/j.fk2025120102

卵巢储备功能与反应性评估

Assessment of ovarian reserve and responsiveness

刘婧 1万鹏程 1全松1

作者信息

  • 1. 南方医科大学南方医院妇产科生殖中心,广东 广州 510515
  • 折叠

摘要

Abstract

Ovarian reserve function is closely associated with ovarian responsiveness,and its assessment is a prerequisite for controlled ovarian stimulation in assisted reproductive technology.Indicators for evaluating ovarian reserve and responsiveness include age,biochemical indicators,and ultrasound-measured antral follicle count(AFC),etc.These indicators can be used either individually or in combination to assess ovarian reserve and responsiveness.Currently,artificial intelligence(AI)technology is used to optimize the evaluation and prediction of ovarian reserve and responsiveness by integrating multimodal data,compensating for the limitations of traditional assessment methods and demonstrating promising application prospects.

关键词

卵巢储备功能/卵巢反应性/生化指标/超声检查/人工智能

Key words

ovarian reserve function/ovarian responsiveness/biochemical indicators/ultrasound examination/artificial intelligence

分类

医药卫生

引用本文复制引用

刘婧,万鹏程,全松..卵巢储备功能与反应性评估[J].中国实用妇科与产科杂志,2025,41(12):1157-1161,5.

基金项目

National Natural Science Foundation of China(82171656) 国家自然科学基金(82171656) (82171656)

中国实用妇科与产科杂志

OA北大核心

1005-2216

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