Artificial intelligence converts international hepatitis C treatment guidelines into unambiguous clinical responses that are consistent with current standards. This is the topic of an international study led by Mauro Giuffrè, a researcher at the University of Trieste and Yale University School of Medicine, and validated by the authors of the European guidelines for treating the disease. Hepatitis C is a virus-borne infection that damages the liver and can progress to chronic forms with dangerous implications, including cirrhosis and hepatocellular carcinoma. According to the World Health Organization, the chronic infection affects around 58 million people globally, with more than 1.5 million new cases reported each year. The World Health Organization has set an ambitious goal of eliminating hepatitis C as a public health issue by 2030, with a target of reducing new infections by 90% and deaths by 65%. The advancement of innovative AI-driven tools, exemplified by the study conducted at the University of Trieste, is essential in advancing these objectives: enhancing compliance with therapeutic guidelines and enabling access to suitable care even in resource-limited environments are tangible measures that can support the attainment of global targets. The findings provide concrete implications for the application of AI in clinical decision assistance. The work is an important step toward what the authors call "the safe integration of Generative AI into clinical practice".