VA-Adapter lets an ultrasound foundation model guide the echo probe, cutting trained parameters about 33-fold while lowering guidance error below strong baselines
The work proposes a Vision-Action Adapter (VA-Adapter) inserted into the deep layers of a frozen ultrasound foundation model image encoder (EchoCLIP, USFM, BiomedCLIP) to online-inject understanding of individual 3D cardiac structure by encoding historical vision-action sequences; on a dataset of 178 adults, 356 expert scans and 1.31M image-action pairs, it reaches lower translation and rotation mean absolute error than strong probe-guidance baselines with roughly 2.61M-3.97M trainable parameters.