Author

R. Goh

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Open access Aug 2026

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

For systemic diseases, RETFound consistently outperformed traditional deep-learning models in internal testing when fine-tuned on smaller datasets and with smaller datasets, except in the case of diabetic retinopathy and glaucoma.

S. Yew, Xiao-Feng Lei, Jocelyn Hui Lin Goh et al. · The Lancet Digital Health · 1 citation

Open access Jul 2026

MerMED-FM: Multimodal, Multi-Disease Medical Imaging Foundation Model.

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