张松英教授“AI分身”之生殖医学多模态高质量数据集

该数据为浙江大学医学院附属邵逸夫医院在生殖医学中心临床诊疗与科研活动中产生，是张松英教授团队专业知识的数字化结晶。数据集包含多模态高质量数据，如宫腔镜影像、子宫检查记录、生殖辅助手段、治疗结果等。数据形态涵盖影像、时序数值、结构化标签与文本报告，用于构建和训练高度拟真的生殖医学AI分身模型。业务场景深度应用于辅助生殖技术（ART）全流程，包括不孕症病因分析、促排卵方案个性化制定、胚胎移植时机选择与预后预测。数据集可支撑AI分身模拟张松英教授丰富的临床经验，为不同特征的患者提供精准化的治疗路径建议，助力提升临床妊娠率与活产率，同时服务于青年医师规范化培训、疑难病例会诊与生殖内分泌领域的前沿研究。

This dataset was generated during the clinical diagnosis, treatment and scientific research activities of the Reproductive Medicine Center of Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, and is the digital crystallization of the professional knowledge of Professor Zhang Songying's team. It contains high-quality multimodal data, including hysteroscopy images, uterine examination records, assisted reproductive interventions, treatment outcomes, etc. The data modalities cover images, time-series numerical data, structured labels and text reports, which are used to construct and train highly realistic AI avatar models for reproductive medicine. Its business scenarios are deeply applied to the entire workflow of Assisted Reproductive Technology (ART), including infertility etiology analysis, personalized development of ovulation induction regimens, timing selection of embryo transfer and prognosis prediction. The dataset can support the AI avatar to simulate the rich clinical experience of Professor Zhang Songying, provide precise treatment pathway recommendations for patients with different characteristics, help improve the clinical pregnancy rate and live birth rate, and at the same time serve for standardized training of young physicians, consultation of difficult cases and cutting-edge research in the field of reproductive endocrinology.

搜集汇总

背景与挑战

背景概述

该数据集由浙江大学邵逸夫医院生殖医学中心提供，包含宫腔镜影像、治疗记录等多模态临床数据，用于构建生殖医学AI模型，支持辅助生殖全流程决策、医师培训及科研工作。