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Multi-modal AI-enabled steatotic liver disease diagnostics using facial images and metabolomics
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DOI：10.1016/j.xcrm.2026.102971.png)
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Abstract
En 中文
• 3D facial imaging detects steatotic liver disease non-invasively • Facial risk scores correlate with glycolipid and amino acid pathways • Multimodal models with metabolomics improve prediction accuracy • Smartphone-based and privacy-preserving AI enable scalable screening
Keywords:
steatotic liver disease
facial image
disease screening
deep learning
metabolomics
multimodal artificial intelligence
federated learning
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