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HOPPR launches groundbreaking foundation model for medical imaging

Press releases may be edited for formatting or style | November 29, 2023 Artificial Intelligence Health IT PACS / Enterprise Imaging

"We are thrilled to launch the beta HOPPR foundation model to trusted PACS vendors and developers to fine tune models and provide feedback to prepare us for commercial expansion in Q1 of 2024. Grace represents a game-changing advance for HOPPR and the broader medical imaging space, which stands to benefit enormously from the transformative potential of AI to improve the efficiency and quality of clinical care," said Dr. Khan M. Siddiqui, CEO of HOPPR.

HOPPR developed its foundation model exclusively on AWS using Amazon SageMaker, with plans to utilize AWS HealthImaging, Amazon Bedrock, and other services for data storage, inferencing, and model development in the future as it's scaled. Working together, the companies aim to address key obstacles to optimal AI use in medical imaging:

Dynamic Integration: Many current AI solutions for medical imaging do not fully meet the needs of medical imaging professionals. They are static and lack integration with broader patient context. HOPPR enables cross-modality comparison, historical and contextual perspective, real-time prompt and recall, and system-wide treatment planning.

Faster and More Cost-Effective Application Development: Clinical app developers spend 12 to 18 cost-intensive months training and developing models and equally lengthy periods of integration and deployment. By exposing the Foundation Model for fine tuning by clients, the development process can be compressed to about a month.

Increased Image Depth: Most available AI tools were developed by downsampling images, meaning 99% of the data contained in the medical imaging study is not available in traditional training models. Whereas many current AI solutions require downsampling grey scale to 256 shades, HOPPR sees 65,000 shades of grey. HOPPR has developed proprietary vision transformers for its development of the model.

"Accelerating AI's clinical and operational value in medical imaging eases burdens for radiologists, providers, and support staff, which could ultimately result in better patient outcomes," said Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. "We are excited to work with HOPPR to make fine tuning and deploying foundation models for medical imaging easier and faster – decreasing the time to value from years to months."

In parallel with this milestone, HOPPR has received a $3 million funding round led by Health2047, a Silicon Valley-based venture studio founded by the American Medical Association. With this investment, HOPPR joins Health2047's portfolio of startups reshaping healthcare for the future. Other companies in the portfolio include Evidium, Medcurio, Phenomix Sciences, ScholarRx SiteBridge Research and Zing Health.

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