The application of artificial intelligence in hepatology: A systematic review.

Balsano, Clara; Alisi, Anna; Brunetto, Maurizia R; Invernizzi, Pietro; Burra, Patrizia; Piscaglia, Fabio

Balsano, Clara; Alisi, Anna; Brunetto, Maurizia R; Invernizzi, Pietro; Burra, Patrizia; Piscaglia, Fabio.

Affiliation

Balsano C; Dept. of Life, Health and Environmental Sciences MESVA, University of L'Aquila, Piazza S. Salvatore Tommasi 1, 67100, Coppito, L'Aquila. Italy; Francesco Balsano Foundation, Via Giovanni Battista Martini 6, 00198, Rome, Italy. Electronic address: clara.balsano@univaq.it.
Alisi A; Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Brunetto MR; Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, University Hospital of Pisa, Pisa, Italy.
Invernizzi P; Division of Gastroenterology and Center of Autoimmune Liver Diseases, Department of Medicine and Surgery, San Gerardo Hospital, University of Milano, Bicocca, Italy.
Burra P; Multivisceral Transplant Unit, Department of Surgery, Oncology, Gastroenterology, Padua University Hospital, Padua, Italy.
Piscaglia F; Division of Internal Medicine, IRCCS Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy.

Dig Liver Dis ; 54(3): 299-308, 2022 Mar.

Article de En | MEDLINE | ID: mdl-34266794

Sujet(s)
Mots clés

Artificial intelligence; Big data; Deep learning; Hepatology; Machine learning; liver diseases

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Gastroentérologie / Maladies du foie Type d'étude: Systematic_reviews Aspects: Ethics Limites: Humans Langue: En Journal: Dig Liver Dis Sujet du journal: GASTROENTEROLOGIA Année: 2022 Type de document: Article Pays de publication: Pays-Bas

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