Healthcare AI with

Federated
Learning

The Rhino Health
Platform

Our platform allows healthcare AI developers and medical researchers to seamlessly access diverse and disparate datasets and use them to create better AI algorithms. Simple and scalable data access accelerates creation, validation, and improvement of AI models that drive efficiency and improve outcomes across the healthcare industry.

Rhino Health's
approach

Our approach is grounded in federated learning, making it possible for developers and researchers to collaborate across academic medical centers and researchers without ever moving data, transferring ownership, or risking patient privacy.

Why do healthcare AI innovators

choose Rhino Health?

Protect Privacy

Collaborate Efficiently

Improve Outcomes

With federated learning, data remains at the site where it was created. Patient privacy is always protected. Copies of the AI model are sent to each site, and training is performed locally. You don’t need to move massive amounts of data and create redundancies. Aggregate learnings inform an optimized model. This approach to utilizing larger, more diverse datasets enables AI-based healthcare solutions to scale globally at an unprecedented pace.

Why
do we do it?

Rhino Health strives to create equitable access to advanced AI-based diagnostics and improved treatment pathways - for all patients. This requires prioritizing patient privacy, data diversity, and trusted collaboration every step of the way in the healthcare AI lifecycle. Federated learning makes this possible.