EVLF-FM is introduced, a multimodal vision language foundation model that combines broad diagnostic capabilities with fine-grained explainability and a hybrid training strategy combining supervised and visual reinforcement fine-tuning enables EVLF-FM to generate clinically interpretable explanations aligned with visual...
Yang Bai, Hao-Ran Cheng, Yang Zhou et al.· Nature Medicine· 0 citations
BACKGROUND
RETFound, a self-supervised retina-specific foundation model, has shown potential in downstream tasks, but its performance in comparison with that of traditional deep-learning models remains unclear. We aimed to evaluate RETFound against three supervised deep-learning models (ResNet50, ViT-Base, and SwinV2)...
S. Yew, Xiao-Feng Lei, Jocelyn Hui Lin Goh et al.· The Lancet Digital Health· 0 citations
GlobeReady is developed, a deployment-oriented platform powered by the RetiGlobe model and local feature augmentation that evaluates domain generalisability, Bayesian uncertainty quantification, out-of-distribution (OOD) detection, and feature-based case retrieval in medical imaging diagnostics.
Meng Wang, Tian Lin, Qing-Shan Hou et al.· 1 citation
Multimodal, Multi-Disease Medical Imaging Foundation Model MerMED-FM has the potential to be a highly adaptable, versatile, cross-specialty foundation model that enables robust interpretation of medical imaging across diverse medical disciplines.
Yang Zhou, C. Quek, Jun Zhou et al.· The Lancet Digital Health· 2 citations
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