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

Artificial 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 hepatocel...

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Published in:Viral Hepatitis Journal / Viral Hepatit Dergisi Vol. 30; no. 1; pp. 1 - 7
Main Author: Bal, Tayibe
Format: review tables/charts Journal Article
Published: Galenos Yayinevi Tic. LTD. STI Apr2024
Online Access:View this record in EBSCOhost
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      jtl: Viral Hepatitis Journal / Viral Hepatit Dergisi
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      dt: Apr2024
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      pub: Galenos Yayinevi Tic. LTD. STI
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        10.4274/vhd.galenos.2024.2023-12-4
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        atl: A New Tool for the Diagnosis and Management of Viral Hepatitis: Artificial Intelligence.
      aug:
        au: Bal, Tayibe
      sug:
        subj:
          Hepatitis, Viral, Human Diagnosis
          Hepatitis, Viral, Human Therapy
          Artificial Intelligence Utilization
          Liver Cirrhosis Diagnosis
          Fibrosis Diagnosis
          Carcinoma, Hepatocellular Diagnosis
          Diagnostic Imaging Methods
          Hepatitis, Viral, Human Risk Factors
          Risk Assessment
          Hepatitis, Viral, Human Complications
          Early Diagnosis
          Liver Diseases Diagnosis
          Carcinoma, Hepatocellular Prognosis
          Deep Learning
          Machine Learning
          Early Detection of Cancer
          Precancerous Conditions Diagnosis
          Liver Diseases Ultrasonography
          Carcinoma, Hepatocellular Ultrasonography
          Tomography, X-Ray Computed
          Magnetic Resonance Imaging
          Biopsy
          Workload
          Pathologists
          Workflow
          Artificial Intelligence Ethical Issues
          Privacy and Confidentiality
          Data Security
          Guideline Adherence
      ab:
        Artificial 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.
        Yapay zeka (AI), viral hepatitin tanısı, prognozun tahmini ve tedavi yönetimi için umut verici çözümler sunarak hepatoloji alanını hızla dönüştürmektedir. Bu derleme, radyolojik (ultrason, bilgisayarlı tomografi ve manyetik rezonans görüntüleme) ve patolojik görüntüleri kullanarak karaciğer fibrozu, siroz ve hepatoselüler karsinomun (HCC) saptanması, viral hepatit ve komplikasyonları için yüksek risk altındaki bireylerin belirlenmesi elektronik sağlık kaydı verilerinin analizi yoluyla karaciğer hastalıklarının erken teşhisi HCC'de prognozun tahmin edilmesi dahil olmak üzere hepatolojide yapay zekanın çeşitli uygulamalarını incelemektedir. AI'nın hepatolojideki dikkate değer potansiyeline rağmen, bazı zorluklar devam etmektedir. Veri gizliliği, algoritmik önyargılar ve mevzuat uyumluluğuna ilişkin etik kaygıların ele alınması gerekmektedir. Sağlık uzmanları ve veri bilimcileri arasındaki işbirlikçi çabalar, zorlukların üstesinden gelmek ve hepatolojiyi dönüştürmede yapay zekanın tüm potansiyelini ortaya çıkarmak için çok önemlidir.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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