MedSynth: Leveraging Generative Model for Healthcare Data Sharing

In one paragraph

Condenses the knowledge in large medical datasets into a small generative model, combining an attention-based generator with a vision transformer so the model can produce a compact set of representative synthetic medical images; sharing the generator across hospitals avoids disclosing raw patient data. Reports outperforming state-of-the-art comparison methods and successfully defending against state-of-the-art membership-inference attacks.