Аннотация
This article examines the significance of digital medicine in the early diagnosis and screening of liver cirrhosis. Liver cirrhosis is a chronic and progressive disease with high morbidity and mortality, often detected at advanced stages. The integration of digital health technologies, including artificial intelligence, machine learning, advanced imaging techniques, and telemedicine, enhances diagnostic accuracy, enables continuous monitoring, and facilitates personalized patient management. The study emphasizes the role of predictive models, risk stratification, and mobile health applications in optimizing screening and improving patient engagement. Challenges such as data security, system interoperability, and implementation costs are also discussed. The findings highlight the transformative potential of digital medicine to improve early detection, prevent complications, and reduce the healthcare burden associated with liver cirrhosis.
Библиографические ссылки
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