RadFM

Moorfields/UCL retinal foundation model (MAE pretrained on 1.6M retinal images) for disease detection across ophthalmic and systemic conditions.

European clinical NLP benchmark and baseline models from LUMC covering 28 multilingual clinical tasks across EU languages.

Google open medical foundation model (Gemma-based) with text and multimodal medical-image variants released under Gemma terms.

Vision-language pathology foundation model trained on 1.17M histopathology image-caption pairs — enables zero-shot CPath.

Saama open-weights biomedical LLM fine-tuned on Llama-3 70B; competitive with closed clinical models on MedQA/MMLU-Med.

Mahmood Lab general-purpose pathology foundation model trained on 100M+ histology image tiles; SOTA across CPath benchmarks.