HOPPR offers medical imaging data infrastructure, a diverse dataset, and the HOPPR Foundation Model. The platform gives researchers and developers the ability to fine-tuning and integrate models into their application via HOPPR's proprietary API.
HOPPR's medical-grade platform offers several features and characteristics designed for the development of AI models for medical imaging, including:
Built on AWS, the HOPPR platform is scalable, secure, and fully HIPAA-compliant. Users retain full control over their data, with the ability to revoke access instantly.
HOPPR provides an isolated virtual clean room preloaded with popular AI/ML tools and libraries (such as TensorFlow) enabling quick setup. All data preparation tools are included in the subscription, simplifying development.
The platform supports secure ingestion, anonymization, and indexing of large datasets from multiple sources. It facilitates sharing de-identified data for multi-center collaborations, ensuring clean datasets to avoid model hallucination.
HOPPR’s proprietary search tool enables users to build precise cohorts by stratifying data across modalities, anatomy, demographics, and more. It integrates open-source and proprietary tools tailored for medical imaging.
HOPPR offers a growing dataset, including MRI, CT, echo, and X-ray images, along with associated reports. Researchers can access tokenized data via API with pre-negotiated usage rights, streamlining development.
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