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Segmed

Real-world data platform powering health innovation and research.

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Segmed is a self-serve platform for accessing de-identified, structured medical imaging data, reports, and multimodal datasets. It addresses the challenge of sourcing diverse, high-quality imaging studies for research in AI, life sciences, and medical device development, supporting uses such as algorithm development and validation, imaging biomarker identification, and external control arms.

The platform, called Openda, provides access to imaging studies across modalities including CT, MRI, X-ray, ultrasound, PET/CT, PET/MR, DEXA, mammography, echocardiography, and fluorescence, linked with multimodal data such as EHR records and pathology slides. Solutions are organized for life sciences R&D, medical devices and AI R&D, clinical data management, and healthcare providers, covering data de-identification, image data extraction, and medical imaging data exploration. Access is offered through subscription to the database and regulatory-grade validation datasets.

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