The application of artificial intelligence in hepatology: A systematic review(175 views) Balsano C, Alisi A, Brunetto MR, Invernizzi P, Burra P, Piscaglia F
Keywords: Artificial Intelligence
, Big Data
, Deep Learning
, Hepatology
, Machine Learning
, Liver Diseases,
Affiliations: *** IBB - CNR ***
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.
Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, University Hospital of Pisa, Pisa, Italy.
Division of Gastroenterology and Center of Autoimmune Liver Diseases, Department of Medicine and Surgery, San Gerardo Hospital, University of Milano, Bicocca, Italy.
Multivisceral Transplant Unit, Department of Surgery, Oncology, Gastroenterology, Padua University Hospital, Padua, Italy.
Division of Internal Medicine, IRCCS Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy.
References: Not available.
The application of artificial intelligence in hepatology: A systematic review
The integration of human and artificial intelligence (AI) in medicine has only recently begun but it has already become obvious that intelligent systems can dramatically improve the management of liver diseases. Big data made it possible to envisage transformative developments of the use of AI for diagnosing, predicting prognosis and treating liver diseases, but there is still a lot of work to do. If we want to achieve the 21(st) century digital revolution, there is an urgent need for specific national and international rules, and to adhere to bioethical parameters when collecting data. Avoiding misleading results is essential for the effective use of AI. A crucial question is whether it is possible to sustain, technically and morally, the process of integration between man and machine. We present a systematic review on the applications of AI to hepatology, highlighting the current challenges and crucial issues related to the use of such technologies.
The application of artificial intelligence in hepatology: A systematic review
No results.
The application of artificial intelligence in hepatology: A systematic review
Vitiello M, Finamore E, Falanga A, Raieta K, Cantisani M, Galdiero F, Pedone C, Galdiero M, Galdiero S * Fusion in Coq(679 views) Lecture Notes In Computer Science (ISSN: 0302-9743, 0302-974335404636319783540463634, 0302-974335402975459783540297543), 2001; 2178LNCS: 583-596. Impact Factor:0.415 ViewExport to BibTeXExport to EndNote
30 Records (29 excluding Abstracts). Total impact factor: 78.46 (73.643 excluding Abstracts). Total 5 year impact factor: 56.642 (51.853 excluding Abstracts).