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检验大数据涉及全身各系统并随着疾病的变化而变化，纵横交错，导致目前我们还没有突破检验结果综合分析的瓶颈。借助人工智能，通过检验大数据处理，根据疾病特点对检验数据结果进行全面的综合分析，通过模拟、延伸和扩展将检验数据与疾病的诊断、鉴别诊断、治疗效果评价和预后判断联系起来，产生具有最高水平的智能分析，突破人脑对巨大数据同时多规则处理的记忆容量限制，汇集众多专家的经验积累，帮助我们快速完成分析，实现检验大数据的综合判断，将为突破数据报告瓶颈，助力检验医学从数据报告向诊断报告飞跃，开创检验医学未来具有重要意义。“,”Big data from tests involves various systems of the whole body and changes with the status of the disease, so we have not yet broken the bottleneck of the comprehensive analysis of test results. Artificial intelligence has helped the development of laboratory medicine. It processes big data according to the characteristics of disease and analyze the results of the tests.Then it obtains results relevant to the disease diagnosis, differential diagnosis, evaluation of therapeutic effect and prognosis judgement by the method of simulation, extension and broadening. We will produce the diagnosis reportwith the highest levels of intelligence analysis, and break through the memory capacity limit of human brain, and make haste to complete analysis, the realize comprehensive pathology inspection of bigdata through pooling experience of many experts. It is of great significance to help laboratory medicine to leap from data report to diagnosis report, and to improve the future of laboratory medicine.