DermFM-Zero is a vision-language model trained on 4M multimodal data for zero-shot dermatology tasks. Achieves SOTA on benchmarks and outperforms clinicians in studies. Latent representations enable interpretable concept discovery.
Key Points
- 1.Masked latent and contrastive training
- 2.Boosts GP accuracy 2x
- 3.Suppresses artifact biases
Impact Analysis
Enables safe AI assistance in primary and specialist care. Improves diagnostic equity via non-expert collaboration.
Technical Details
Sparse autoencoders for clinical concepts. Zero-shot on 20 benchmarks and reader studies.