蔡秀军教授“AI分身”全景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肝胆胰腺综合医疗活动中产生，包含全景多模态高质量数据（整合影像诊断数据、文书、操作记录等），用于构建全面AI分身系统，业务场景涵盖多种疾病诊断、手术模拟和教学培训。可用于辅助医生全流程决策，可支撑跨专科协作、智慧医院建设和医学创新，助力提高医疗服务整体效能。This dataset was generated by Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine during comprehensive hepatobiliary and pancreatic medical activities. It comprises high-quality panoramic multimodal data integrating imaging diagnosis data, medical documents, operative records, and other relevant medical information, and is intended for building a comprehensive AI avatar system. Its application scenarios cover multiple disease diagnosis, surgical simulation, and medical teaching and training. It can assist doctors in making decisions throughout the entire medical process, support cross-specialty collaboration, smart hospital construction, and medical innovation, and help improve the overall efficiency of medical services.

搜集汇总

背景与挑战

背景概述

该数据集整合了肝胆胰腺诊疗过程中的影像、文书等多模态数据，用于开发AI分身系统，支持疾病诊断、手术模拟及医疗教学等应用场景。