A new study demonstrates that an artificial intelligence-powered blood test can accurately detect a common, silent liver condition known as metabolic dysfunction-associated steatotic liver disease (MASLD) years before symptoms appear. The AI model analyzes routine blood test results, identifying subtle patterns missed by standard methods. This non-invasive approach could enable earlier intervention and monitoring, potentially preventing progression to more serious liver damage. The research highlights the growing role of AI in transforming early disease detection through existing medical data. For the full details, read the complete article at: https://www.sciencedaily.com/releases/2026/03/260305223204.htm