A New Tool for the Diagnosis and Management of Viral Hepatitis: Artificial Intelligence
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Galenos Publ House
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Artificial intelligence, cirrhosis, deep learning, HCC, chronic viral hepatitis, machine learning
Kaynak
Viral Hepatit Dergisi-Viral Hepatitis Journal
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
30
Sayı
1
