ARTIFICIAL INTELLIGENCE-BASED NON-INVASIVE DETECTION AND STEPWISE ASSESSMENT OF STEATOSIS IN FATTY LIVER DISEASE

Non-alcoholic fatty liver disease is a widespread liver disorder that often progresses without noticeable symptoms, making early detection challenging. Traditional invasive diagnostic methods are uncomfortable for patients and have limited applicability. Non-invasive approaches using artificial intelligence provide accurate, rapid, and objective detection of fat accumulation in the liver. Stepwise evaluation of disease severity allows personalized treatment planning and effective monitoring of disease progression. AI-assisted diagnostics enhance patient safety, improve clinical efficiency, and support large-scale screening and research. This approach represents a significant advancement in the early detection and management of fatty liver disease.