Artificial intelligence and human liver allocation:Potential benefits and ethical implications

作     者：Marcos Mucenic Ajacio Bandeira de Mello Brandão Claudio Augusto Marroni 

作者机构：Liver Transplant Adult GroupIrmandade da Santa Casa de Misericórdia de Porto AlegrePorto Alegre 90020-090RSBrazil HepatologyUniversidade Federal de Ciencias da Saude de Porto AlegrePorto Alegre 90050-170RSBrazil 

出 版 物：《Artificial Intelligence in Gastroenterology》 (胃肠病学中的人工智能（英文）)

年 卷 期：2022年第3卷第1期

页      面：21-27页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Liver transplantation Liver cirrhosis Artificial intelligence Prognosis Survival Machine learning 

摘      要：Since its implementation almost two decades ago,the urgency allocation policy has improved the survival of patients on the waiting list for liver transplantation *** Model for End-Stage Liver Disease score is widely used to predict waiting list *** to some limitations related to its use,there is an active investigation to develop other prognostic *** allocation(LA)entails complex decision-making,and grafts are occasionally not directed to the recipients who are more likely to *** scores have,thus far,failed to predict post-operatory ***,the increasing use of marginal donors is associated with worse *** donor-recipient pairing could help avoid retransplantation or futile procedures and reduce postoperative complications,mortality,hospitalization time,and *** intelligence has applications in several medical *** learning algorithms(MLAs)use large amounts of data to detect unforeseen patterns and complex interactions between *** neural networks and decision trees were the most common forms of MLA tested on *** researchers have shown them to be superior for predicting waiting list mortality and graft failure than conventional statistical *** promising techniques are increasingly being considered for implementation.