【摘要】 随着5G和大数据时代的来临,多维度、大样本的复杂医疗数据为新时代临床医学带来众多机遇和挑战。与传统方法相比,人工智能可以更高效地挖掘庞大数据集中的隐藏联系,越来越多的学者将这一先进技术应用于疾病的诊断和治疗。经过半个多世纪的发展和完善,肝移植已成为治疗各种终末期肝病最有效的方法。与其他领域的"单患者"数据分析不同,肝移植通常需要考虑供体和受体"双患者"的特征以及移植过程中的变量,产生较其他疾病更为庞大的医疗数据,这与人工智能的优势尤为契合。有效利用人工智能的手段、结合临床研究开展将为智能精准临床医学时代拉开新的序幕。对于人工智能在肝移植的交叉应用,需要全面讨论人工智能技术在肝移植中的优势和局限性,并提出该领域的未来方向。更多还原

【Abstract】 With the advent of the era of 5G and big data, complex medical data with multiple dimensions and a large sample size bring both opportunities and challenges for clinical medicine in the new era. Compared with conventional methods, artificial intelligence can detect the hidden patterns within large datasets, and more and more scholars are applying such advanced technology in the diagnosis and treatment of diseases. After development and perfection for more than half a century, liver transplantation has become the most effective treatment method for end-stage liver diseases. Unlike the analysis of “single-patient” data in other fields, liver transplantation usually requires the consideration of the features of both the donor and the recipient and the variables during transplantation, thus generating a larger volume of medical data than other diseases, which is particularly in line with the advantages of artificial intelligence. Effective application of artificial intelligence and its combination with clinical research will usher in the new era of precision medicine. The advantages and limitations of artificial intelligence technology should be comprehensively discussed for the cross-application of artificial intelligence in liver transplantation, and the future directions of this field should also be proposed.更多还原