At The Liver Meeting 2024, researchers unveiled an AI-driven algorithm capable of detecting early-stage metabolic dysfunction–associated steatotic liver disease (MASLD) with 88% accuracy. The algorithm utilizes imaging and metabolic data from electronic medical records to identify cases often missed in traditional clinical workflows.
Dr. Ariana Stuart from the University of Washington emphasized that many MASLD cases go undiagnosed, delaying care and risking disease progression. The AI tool, validated by physicians, identified 957 MASLD cases in a Seattle cohort, with 83% lacking an official diagnosis.
Keep Reading
Add A Comment