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Segmed
Segmed is an AI-powered platform for sourcing and instantly de-identifying regulatory-grade medical imaging data for healthcare research, AI training, and clinical innovation.
About Segmed
What the tool does and who it's for
Segmed is a cloud-based healthcare data platform designed to streamline the sourcing, de-identification, and delivery of medical imaging data for research and AI development. Founded by a team from Stanford, it provides access to millions of regulatory-grade, multimodal datasets—including DICOM images and radiology reports—from a global network of thousands of healthcare locations. The platform uses advanced Natural Language Processing (NLP) to remove Protected Health Information (PHI), ensuring HIPAA and GDPR compliance while maintaining the clinical integrity of the data. Its 'Openda' platform allows researchers to query specific clinical indications, curate custom datasets, and access high-quality real-world imaging data near-instantly, significantly accelerating the validation and FDA-clearance process for medical AI products.
Key capabilities
Pricing
Free — plans below
Free Demo Tool
0
- Sample medical data de-identification
- NLP-powered PHI removal demonstration
- No data storage
- Browser-based testing
Enterprise / De-Id as a Service
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- Full access to millions of imaging studies
- Custom dataset curation
- FDA-grade validation data
- Dedicated support and API access
- Longitudinal data tracking
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