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Development and Evaluation of Ultrasound Image Learning Pipelines for MASLD Risk Stratification
Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately 30% of the general population. Ultrasound-based imaging, including B-mode imaging and shear wave elastography (SWE), is widely used for noninvasive fibrosis assessment; however, the role of deep learning-based ultrasound image learning for MASLD risk stratification remains insufficiently characterized. In this study, we developed and evaluated ultrasound image learning pipelines using B-mode and SWE images for fibrosis staging and identification of patients with at-risk metabolic dysfunction-associated steat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T18:56:26.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.