人工智能在慢性肝病领域中的应用研究进展

Progress in application research of artificial intelligence in the field of chronic liver diseases

近十年来,人工智能已经在医学领域取得了突破性进展。与传统统计模型相比,人工智能的优势在于可通过机器学习建立算法及预测模型来高效、有效地识别目标数据集中的模式,并结合多种因素创建更为精确的预测模型,特别适用于具有海量高维数据特征的医学临床数据分析及预测建模任务。在肝脏病学的临床实践领域,已有越来越多的研究将人工智能应用于肝病的诊断分类、协助治疗、预测疗效及预后,以及协助肝脏疾病的影像学、病理学诊断等。本文结合国内外研究成果,总结人工智能在慢性肝病领域中的应用情况及研究进展。

Artificial intelligence has made breakthroughs in medicine in the past decade.Compared with the traditional statistical model,the advantage of artificial intelligence is that it can establish algorithm and prediction model through machine learning to efficiently and effectively identify the patterns in large data sets,and combine a variety of factors to create more accurate prediction model.Therefore,artificial intelligence is particularly suitable for huge and complex or high-dimensional clinical data analysis and predictive modeling tasks.There are many kinds of data formats in the clinical practice of hepatology.Many studies have applied artificial intelligence in the diagnosis and classification of liver diseases,assisting treatment,predicting efficacy and prognosis,and evaluation of liver imaging and pathology.Based on the study outcomes in related fields at home and aboard,this paper summarizes the research progress and application of artificial intelligence in the field of diagnosis and treatment of chronic liver diseases.