HepaFat-AI is an AI-powered software that automatically analyzes MRI images of the liver to measure liver fat content. It helps clinicians assess fatty liver disease, monitor liver fat in patients undergoing weight loss, and screen liver transplant donors by providing quantitative and reproducible fat fraction results quickly without manual input.
HepaFat-AI is intended for quantitative measurement of the triglyceride fat fraction in magnetic resonance images of the liver, also known as volumetric liver fat fraction (VLFF).
HepaFat-AI uses a proprietary MRI acquisition protocol and AI-based image analysis software consisting of two convolutional neural networks—one predicting the alpha measurement and another for anomaly detection. The software includes algorithmic modules converting alpha to volumetric liver fat fraction, proton density fat fraction, and steatosis grade, producing an automated report with confidence intervals and reference images for clinical review.
Performance testing includes validation against a predicate device HepaFat-Scan (K122035) using anonymized clinical MRI data, showing comparable sensitivity, specificity, repeatability, and diagnostic accuracy for liver fat quantification. Analytical and clinical validation followed FDA and IMDRF guidelines for software as a medical device.
No predicate devices specified
Submission
4/20/2020
FDA Approval
12/7/2020
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