肺癌诊疗分析数据产品

本次登记的肺癌诊疗数据面向合规医疗机构及科研单位，用于AI模型训练、临床辅助诊断及医学研究，要求申请主体具备法定资质与完善的数据安全能力。 应用场景具体说明 （1）早期筛查与病灶检测：数据需求方诊疗分析数据模型，通过数据集训练实现病灶高精度定位，减少漏检率，辅助医生进行临床诊断与治疗。 （2）AI诊断模型训练：医疗机构、研究机构、医技公司、医疗器械厂商可通过诊疗分析数据，进行智能诊断模型的深度学习模型训练，提高模型的诊断准确性。 （3）科研分析：研究机构可利用诊疗分析数据，利用病种在各个阶段的临床表现、表型、预后、治疗反应等数据进行深入挖掘和分析，探索和研究病种的早期诊断和治疗方法，支撑科研项目及科研论文研究。 （4）案例教学（医学教育）：医疗机构、医学院校可通过该类数据集产品，进行医学课程的教学、实习和实训等，提高临床医生和医学生的诊疗水平。 应用需求方包括癌症研究机构、癌症AI诊断模型厂商、肺癌康复药企等。 限制或禁止使用场景说明 禁止将数据传输至境外，严禁将数据传输给第三方，并严禁用于不合规的业务。This registered lung cancer diagnosis and treatment dataset is targeted at compliant medical institutions and research entities, for purposes including AI model training, clinical auxiliary diagnosis, and medical research. Applicants are required to hold legal qualifications and possess robust data security capabilities. Specific descriptions of application scenarios: (1) Early screening and lesion detection: The diagnosis and analysis models developed by data requesters can achieve high-precision lesion localization through training on this dataset, reduce missed diagnosis rates, and assist clinicians in clinical diagnosis and treatment formulation. (2) AI diagnostic model training: Medical institutions, research institutions, medical technology companies, and medical device manufacturers can use this diagnosis and treatment data to train deep learning models for intelligent diagnostic systems, thereby improving the diagnostic accuracy of such models. (3) Scientific research analysis: Research institutions can utilize the dataset to conduct in-depth data mining and analysis using information such as clinical manifestations, phenotypes, prognoses, and treatment responses of lung cancer at various stages, explore early diagnosis and treatment methods for the disease, and underpin scientific research projects and academic studies. (4) Case-based teaching (medical education): Medical institutions and medical colleges can use this type of dataset products to carry out medical course teaching, internships, and practical training, so as to improve the clinical diagnosis and treatment capabilities of clinicians and medical students. Applicants for the dataset include cancer research institutions, cancer AI diagnostic model manufacturers, lung cancer rehabilitation pharmaceutical companies, and other relevant entities. Restrictions and prohibited use scenarios: It is strictly prohibited to transfer the dataset overseas, disclose it to third parties, or use it for non-compliant business activities.