自身免疫性肝炎
医学
疾病
精密医学
病因学
计算机科学
重症监护医学
人工智能
病理
作者
Alessio Gerussi,Miki Scaravaglio,Laura Cristoferi,Damiano Verda,Chiara Milani,Elisabetta De Bernardi,Davide Ippolito,Rosanna Asselta,Pietro Invernizzi,Jakob Nikolas Kather,Marco Carbone
标识
DOI:10.3389/fimmu.2022.966329
摘要
Autoimmune liver diseases (AiLDs) are rare autoimmune conditions of the liver and the biliary tree with unknown etiology and limited treatment options. AiLDs are inherently characterized by a high degree of complexity, which poses great challenges in understanding their etiopathogenesis, developing novel biomarkers and risk-stratification tools, and, eventually, generating new drugs. Artificial intelligence (AI) is considered one of the best candidates to support researchers and clinicians in making sense of biological complexity. In this review, we offer a primer on AI and machine learning for clinicians, and discuss recent available literature on its applications in medicine and more specifically how it can help to tackle major unmet needs in AiLDs.
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