Smart Hepatology: The Emerging Role of Artificial Intelligence and Digital Health in Viral Hepatitis Management.

Abstract

Background: Hepatocellular carcinoma, cirrhosis, liver failure, and liver-related mortality are all greatly increased by viral hepatitis, which continues to be a major worldwide health concern. Effective illness management is still hampered by delayed diagnosis, restricted access to specialized care, and insufficient long- term surveillance, despite advancements in vaccine and antiviral therapy. By facilitating early diagnosis, individualized treatment, and ongoing patient monitoring, emerging technologies like artificial intelligence (AI) and digital health have the potential to revolutionize hepatology. The purpose of this review is to assess the growing importance of digital health and artificial intelligence technologies in viral hepatitis screening, diagnosis, prognosis, treatment planning, and long-term management.
Methods: To investigate the use of AI technologies, such as computer vision, machine learning, deep learning, and natural language processing, in the treatment of viral hepatitis, a thorough narrative review of the literature was carried out. Digital health advances like telehepatology, wearable technology, mobile health apps, electronic health records, and patient interaction platforms were also examined in the review.
Results: AI-driven systems showed great promise in combining clinical, laboratory, imaging, and genomic data to detect hepatocellular carcinoma, evaluate liver fibrosis and cirrhosis, forecast disease progression, and improve antiviral medication. Healthcare accessibility, patient adherence, remote monitoring, and continuity of care were all enhanced by digital health technologies. Precision medicine techniques and AI-assisted pharmacovigilance greatly improved therapeutic decision-making and customized patient care.
Obstacles and Prospects: Despite tremendous advancements, the application of AI in hepatology is constrained by issues with data quality, algorithm transparency, ethical considerations, legal frameworks, and inequities in healthcare infrastructure. To guarantee the safe and fair introduction of new technologies into standard clinical practice, further multicenter research, external validation, and interdisciplinary partnerships are crucial.
Conclusion: "Smart hepatology," which enables more precise, proactive, and patient-centered treatment of viral hepatitis, is being made possible by the convergence of digital health and artificial intelligence. To fully realize the potential of AI-driven healthcare solutions in hepatology, more research and technological advancements are required.