Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time?

Author:

Gheorghe Elena Codruta1ORCID,Nicolau Carmen2,Kamal Adina3ORCID,Udristoiu Anca4ORCID,Gruionu Lucian5,Saftoiu Adrian67

Affiliation:

1. Department of Family Medicine, University of Medicine and Pharmacy Craiova, 200349 Craiova, Romania

2. Lotus Image Medical Center, ActaMedica SRL Târgu Mureș, 540084 Târgu Mureș, Romania

3. Department of Internal Medicine, University of Medicine and Pharmacy Craiova, 200349 Craiova, Romania

4. Faculty of Automation, Computers and Electronics, University of Craiova, 200776 Craiova, Romania

5. Faculty of Mechanics, University of Craiova, 200512 Craiova, Romania

6. Department of Gastroenterology and Hepatology, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania

7. Department of Gastroenterology, Ponderas Academic Hospital, 014142 Bucharest, Romania

Abstract

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease, affecting approximately 2 billion individuals worldwide with a spectrum that can range from simple steatosis to cirrhosis. Typically, the diagnosis of NAFLD is based on imaging studies, but the gold standard remains liver biopsies. Hence, the use of artificial intelligence (AI) in this field, which has recently undergone rapid development in various aspects of medicine, has the potential to accurately diagnose NAFLD and steatohepatitis (NASH). This paper provides an overview of the latest research that employs AI for the diagnosis and staging of NAFLD, as well as applications for future developments in this field.

Funder

Ministry of Research and Innovation

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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