arXiv AI August 3, 2026 By Xiao He, Huangxuan Zhao, Guojia Wan, Jiancheng Pan, Yanxing Liu, Yong Luo, Juhua Liu, Yongchao Xu, Wei Zhou, Dacheng Tao, Bo Du

Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation

Read the original on arXiv AI →

arXiv:2510. 12953v4 Announce Type: replace-cross Abstract: Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge

SonoCLIP: Mask-Guided Region-Aware Vision-Language Pretraining for Fetal Ultrasound Analysis

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FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening

OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models