关键词： ACLF, acute on chronic liver failure AI, artificial intelligence ALD, alcoholic liver disease ALT, alanine transaminase ANN, artificial neural network AST, aspartate aminotransferase AUD, alcohol use disorder CHB, chronic hepatitis B CHC, chronic hepatitis C CLD, chronic liver disease CNN, convolutional neural network DL, deep learning FIB-4, fibrosis-4 score GGTP, gamma glutamyl transferase HCC, hepatocellular carcinoma HDL, high density lipoprotein ML, machine learning MLR, multi-nomial logistic regressions NAFLD NAFLD, non-alcoholic fatty liver disease NASH, non-alcoholic steatohepatitis NLP, natural language processing RF, random forest RTE, real-time tissue elastography SOLs, space-occupying lesions SVM, support vector machine artificial intelligence deep learning hepatology machine learning

来  源：   DOI：10.1016/j.jceh.2022.06.009   PDF(Pubmed)

Abstract：
Artificial Intelligence (AI) is a mathematical process of computer mediating designing of algorithms to support human intelligence. AI in hepatology has shown tremendous promise to plan appropriate management and hence improve treatment outcomes. The field of AI is in a very early phase with limited clinical use. AI tools such as machine learning, deep learning, and \'big data\' are in a continuous phase of evolution, presently being applied for clinical and basic research. In this review, we have summarized various AI applications in hepatology, the pitfalls and AI\'s future implications. Different AI models and algorithms are under study using clinical, laboratory, endoscopic and imaging parameters to diagnose and manage liver diseases and mass lesions. AI has helped to reduce human errors and improve treatment protocols. Further research and validation are required for future use of AI in hepatology.
摘要：
人工智能（AI）是计算机中介设计算法以支持人类智能的数学过程。AI在肝病学中显示出巨大的希望，可以计划适当的管理，从而改善治疗结果。AI领域处于非常早期的阶段，临床应用有限。人工智能工具，如机器学习，深度学习,和“大数据”处于一个连续的进化阶段，目前正在应用于临床和基础研究。在这次审查中,我们总结了各种人工智能在肝病学中的应用，陷阱和人工智能的未来影响。不同的人工智能模型和算法正在研究中，使用临床，实验室,内镜和成像参数，以诊断和管理肝脏疾病和肿块病变。AI有助于减少人为错误并改善治疗方案。未来AI在肝病中的使用需要进一步的研究和验证。
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