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.

©2021 by Rhino HealthTech, Illustration by Freepik Storyset