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孟超肝病外脑2.0在人工智能临床诊疗领域的应用初探

Application of Mengchao Liver Disease-Brain System version 2.0 in artificial intelligence-assisted clinical diagnosis and treatment:A preliminary study
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摘要 目的 探讨孟超肝病外脑2.0版在临床诊疗中的初期应用。方法 使用福建医科大学孟超肝胆医院东南肝胆健康大数据研究所大数据智能信息化系统自动抓取2021年6月9日—21日入院的内外科在院病例共160例,以慢性乙型肝炎辅助诊断、肝纤维化解读、慢性乙型肝炎分期模型、肝硬化辅助诊断、肝硬化辅助分期、原发性肝癌辅助诊断、原发性肝癌BCLC分期、原发性肝癌中国分期、Child-Pugh评分、APRI评分等智能辅助诊断工具为测试内容,评价孟超肝病外脑2.0人工智能结论的完整性、准确性。结果 所有辅助诊断工具在测试时间内提取到规范的关键维度完整率为94.17%。抓取数据的准确性方面,人工智能报告结构化准确率为97.55%;文本处理准确率为91.61%。结论 孟超肝病外脑2.0为医学专科大数据平台建设提供一种创新模式,在初期临床诊疗中作为一种辅助诊断工具,具有较高准确率。 Objective To investigate the application of Mengchao Liver Disease-Brain System version 2.0 in clinical diagnosis and treatment.Methods This study was conducted among 160 patients who were admitted to the internal medicine and surgical departments from June 9 to 21,2021,and their data were automatically captured by the intelligent information system of Southeast Big Data Institute of Hepatobiliary Health,Mengchao Hepatobiliary Hospital of Fujian Medical University.The completeness and accuracy of Mengchao Liver Disease-Brain System version 2.0 were evaluated based on the intelligent diagnostic tools such as auxiliary diagnosis of chronic hepatitis B,interpretation of liver fibrosis,staging model of chronic hepatitis B,auxiliary diagnosis of liver cirrhosis,auxiliary staining of liver cirrhosis,auxiliary diagnosis of primary liver cancer,BCLC stage of primary liver cancer,Chinese staging of primary liver cancer,Child-Pugh score,and APRI score.Results All auxiliary diagnostic tools had a complete rate of 94.17%in terms of the extraction of correct key dimensions within the test period.The artificial intelligence report had a structured accuracy of 97.55%in capturing data and an accuracy rate of 91.61%in text processing.Conclusion Mengchao Liver Disease-Brain System version 2.0 provides an innovative mode for the construction of big data platform in medical specialties and has a high accuracy as an auxiliary diagnostic tool in clinical diagnosis and treatment.
作者 李海涛 刘红枝 方国旭 郭鹏飞 陈振伟 刘景丰 LI Haitao;LIU Hongzhi;FANG Gouxu;GUO Pengfei;CHEN Zhenwei;LIU Jingfeng(Southeast Big Data Institute of Hepatobiliary Health,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350025,China;Department of Hepatopancreatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350025,China;Fujian Provincial Tumor Hospital,Fuzhou 350025,China)
出处 《临床肝胆病杂志》 CAS 北大核心 2023年第12期2901-2907,共7页 Journal of Clinical Hepatology
基金 福州市科技局福建省科技创新平台项目(2021-P-055)。
关键词 人工智能 孟超肝病外脑 决策支持系统 临床 Artificial Intelligence Brain of Mengchao Liver Disease Decision Support Systems,Clinical
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