Logo do repositório

Artificial Intelligence in Liver Diseases: Recent Advances

dc.contributor.authorLu, Feifei
dc.contributor.authorMeng, Yao
dc.contributor.authorSong, Xiaoting
dc.contributor.authorLi, Xiaotong
dc.contributor.authorLiu, Zhuang
dc.contributor.authorGu, Chunru
dc.contributor.authorZheng, Xiaojie
dc.contributor.authorJing, Yi
dc.contributor.authorCai, Wei
dc.contributor.authorPinyopornpanish, Kanokwan
dc.contributor.authorMancuso, Andrea
dc.contributor.authorRomeiro, Fernando Gomes [UNESP]
dc.contributor.authorMéndez-Sánchez, Nahum
dc.contributor.authorQi, Xingshun
dc.contributor.institutionNortheastern University
dc.contributor.institutionGeneral Hospital of Northern Theater Command
dc.contributor.institutionDalian Medical University
dc.contributor.institutionChina Medical University
dc.contributor.institutionCo. Ltd.
dc.contributor.institutionChiang Mai University
dc.contributor.institutionAzienda di Rilievo Nazionale Ad Alta Specializzazione Civico-Di Cristina-Benfratelli
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNational Autonomous University of Mexico
dc.date.accessioned2025-04-29T19:29:25Z
dc.date.issued2024-03-01
dc.description.abstractLiver diseases cause a significant burden on public health worldwide. In spite of great advances during recent years, there are still many challenges in the diagnosis and treatment of liver diseases. During recent years, artificial intelligence (AI) has been widely used for the diagnosis, risk stratification, and prognostic prediction of various diseases based on clinical datasets and medical images. Accumulative studies have shown its performance for diagnosing patients with nonalcoholic fatty liver disease and liver fibrosis and assessing their severity, and for predicting treatment response and recurrence of hepatocellular carcinoma, outcomes of liver transplantation recipients, and risk of drug-induced liver injury. Herein, we aim to comprehensively summarize the current evidence regarding diagnostic, prognostic, and/or therapeutic role of AI in these common liver diseases.en
dc.description.affiliationCollege of Medicine and Biological Information Engineering Northeastern University
dc.description.affiliationLiver Cirrhosis Study Group Department of Gastroenterology General Hospital of Northern Theater Command, No. 83 Wenhua Road, Liaoning Province
dc.description.affiliationPostgraduate College Dalian Medical University
dc.description.affiliationPostgraduate College China Medical University
dc.description.affiliationNeusoft Research of Intelligent Healthcare Technology Co. Ltd.
dc.description.affiliationDepartment of Internal Medicine Faculty of Medicine Chiang Mai University
dc.description.affiliationMedicina Interna 1 Azienda di Rilievo Nazionale Ad Alta Specializzazione Civico-Di Cristina-Benfratelli
dc.description.affiliationInternal Medicine Department Botucatu Medical School
dc.description.affiliationLiver Research Unit Medica Sur Clinic and Foundation National Autonomous University of Mexico
dc.description.affiliationUnespInternal Medicine Department Botucatu Medical School
dc.format.extent967-990
dc.identifierhttp://dx.doi.org/10.1007/s12325-024-02781-5
dc.identifier.citationAdvances in Therapy, v. 41, n. 3, p. 967-990, 2024.
dc.identifier.doi10.1007/s12325-024-02781-5
dc.identifier.issn1865-8652
dc.identifier.issn0741-238X
dc.identifier.scopus2-s2.0-85183408496
dc.identifier.urihttps://hdl.handle.net/11449/303355
dc.language.isoeng
dc.relation.ispartofAdvances in Therapy
dc.sourceScopus
dc.subjectArtificial intelligence
dc.subjectCirrhosis
dc.subjectDeep learning
dc.subjectFibrosis
dc.subjectHepatic
dc.subjectLiver disease
dc.subjectMachine learning
dc.titleArtificial Intelligence in Liver Diseases: Recent Advancesen
dc.typeResenhapt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa3cdb24b-db92-40d9-b3af-2eacecf9f2ba
relation.isOrgUnitOfPublication.latestForDiscoverya3cdb24b-db92-40d9-b3af-2eacecf9f2ba
unesp.author.orcid0000-0002-9448-6739[14]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt

Arquivos