Models (4)
Cardiac Sensing Foundation Model (CSFM)
University of Oxford / City University of Hong Kong / Imperial College London / Uppsala University / GSK / Universidade Federal de Minas Gerais
Released July 1, 2025
A multimodal transformer foundation model for ECG, PPG, and clinical text, pretrained on heterogeneous cardiac data from ~1.7 million individuals.
MedVLM-R1
Technical University of Munich / Imperial College London / University of Oxford
Released February 26, 2025
A 2B-parameter medical vision-language model that uses reinforcement learning (GRPO) to produce explicit, human-interpretable reasoning for radiology visual question answering.
MoME
Beijing Institute of Technology / Imperial College London / Beijing Tiantan Hospital / Capital Medical University
Released May 16, 2024
A universal foundation model for brain lesion segmentation on multi-modal brain MRI, using a Mixture of Modality Experts to handle diverse modalities and lesion types.
T3D
Imperial College London / University of Oxford / University of Science and Technology of China / Peking University / Hong Kong University of Science and Technology
Released December 3, 2023
Text-informed self-supervised vision-language pretraining for 3D CT volumes, enabling zero-shot classification, retrieval, report generation, and segmentation.