WHY IT MATTERS
Data is Siloed
Hospital systems create an abundance of data that cannot be shared and is largely left unused.
Patient Privacy is Paramount
Data cannot be shared without compromising patient privacy, hindering AI development.
Generalizability is Poor
Models degrade when deployed outside the training environment, limiting clinical utility.
Research is Difficult to Translate into Clinical Use
Diverse training data and multi-site validation are challenging and not scalable in the current paradigm.