Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Protege aggregates data from hundreds of healthcare sources and prepares de-identified, curated datasets – imaging studies, EHR notes, and lab and genomic data – for AI model training and evaluation, compensating the underlying data providers. It has released evaluation datasets spanning dermatology, oncology, cardiology, and nurse-triage narratives.
Multimodal