RadFM (generalist radiology foundation model)
An open generalist model that answers questions about 2D and 3D scans.
RadFM (2023) trained on the 16M-scan MedMD dataset; handles CT, MRI and X-ray with text prompts.
Generic schematic · not to scale · placeholder for the ai computation front
Flagged finding · Neural network
How it works
RadFM pairs a visual encoder with an LLM trained on interleaved image-text.
Strengths
- Modality breadth
Limitations
- Accuracy below specialist models
Since
2023
Latest papers
topLatest papers · live from Europe PMC
Query for this technology: (TITLE:"RadFM" OR ABSTRACT:"RadFM" OR TITLE:"generalist radiology foundation model" OR ABSTRACT:"generalist radiology foundation model") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about RadFM (generalist radiology foundation model), not a curated reading list.