AI RESEARCH
Ultrasound Vision-Language Alignment via Contrastive Learning
arXiv CS.LG
•
ArXi:2605.02126v1 Announce Type: cross Ultrasound foundation models have achieved strong performance on structured prediction tasks but remain exclusively vision-based, limiting zero-shot and few-shot transfer to novel tasks where task-specific annotation is scarce. We address this gap with EchoCare-CLIP, a CLIP-style dual-encoder contrastive framework that aligns ultrasound images with clinical text in a shared embedding space.