A New Tool for the Diagnosis and Management of Viral Hepatitis: Artificial Intelligence

dc.contributor.authorBal, Tayibe
dc.date.accessioned2024-09-25T19:56:22Z
dc.date.available2024-09-25T19:56:22Z
dc.date.issued2024
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractArtificial intelligence (AI) is rapidly transforming the field of hepatology, offering promising solutions for the diagnosis and treatment management of viral hepatitis. This review examines the various applications of AI in hepatology, including detection of liver fibrosis, cirrhosis, and hepatocellular carcinoma (HCC) using radiological (ultrasound, computed tomography, and magnetic resonance imaging) and pathological images, identification of individuals at high risk for viral hepatitis and its complications early identification of liver diseases through analysis of electronic health record data prediction of prognosis in HCC. Despite the remarkable potential of AI in hepatology, several challenges remain. Ethical concerns regarding data privacy, algorithmic biases, and regulatory compliance must be addressed. Collaborative efforts between healthcare professionals and data scientists are essential to navigate these challenges and unlock the full potential of AI in transforming hepatology.en_US
dc.identifier.doi10.4274/vhd.galenos.2024.2023-12-4
dc.identifier.endpage6en_US
dc.identifier.issn1307-9441
dc.identifier.issn2147-2939
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.trdizinid1242330en_US
dc.identifier.urihttps://doi.org/10.4274/vhd.galenos.2024.2023-12-4
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1242330
dc.identifier.urihttps://hdl.handle.net/20.500.12491/13256
dc.identifier.volume30en_US
dc.identifier.wosWOS:001229804000005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherGalenos Publ Houseen_US
dc.relation.ispartofViral Hepatit Dergisi-Viral Hepatitis Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzYK_20240925en_US
dc.subjectArtificial intelligenceen_US
dc.subjectcirrhosisen_US
dc.subjectdeep learningen_US
dc.subjectHCCen_US
dc.subjectchronic viral hepatitisen_US
dc.subjectmachine learningen_US
dc.titleA New Tool for the Diagnosis and Management of Viral Hepatitis: Artificial Intelligenceen_US
dc.typeArticleen_US

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