Segmed

What is Segmed?

Segmed provides a secure, scalable platform that aggregates millions of diagnostic-grade medical images from over 2,000 healthcare sites worldwide. It enables rapid access to real-world medical imaging data, including DICOM images and radiology reports, fully de-identified and standardized for compliance. Segmed supports life sciences, medical device development, and clinical research by streamlining data licensing, extraction, de-identification, and delivery, significantly reducing traditional access times. Its platform integrates interoperability standards like FHIR and DICOMweb, facilitating seamless data use for developing and validating medical AI solutions and real-world evidence studies.

Key Features

• Comprehensive Medical Imaging Database

  Access to millions of de-identified medical imaging studies sourced globally from diverse healthcare locations.

• Automated Data De-Identification

  Advanced tools ensure HIPAA-compliant removal of protected health information while preserving data utility.

• Standardized Data Formats

  Data delivered in interoperable formats such as DICOM and FHIR for easy integration into research and development workflows.

• Rapid Data Access and Delivery

  Streamlined processes reduce data acquisition timelines from months to weeks, accelerating research and innovation.

• Customizable Dataset Curation

  Users can filter datasets by body part, modality, geography, and patient demographics to fit specific research needs.

• Regulatory-Grade Validation Support

  Provides datasets suitable for FDA and CE regulatory submissions, supporting medical device and AI software development.

Use Cases

• Medical AI Development : Training and validating AI algorithms for disease detection, risk assessment, and diagnostic support using diverse imaging data.
• Life Sciences Research : Enabling drug development and real-world evidence studies by integrating imaging data with clinical records.
• Medical Device Innovation : Supporting design, testing, and regulatory approval of imaging-based medical devices with high-quality datasets.
• Clinical Data Management : Streamlining access and management of de-identified imaging data for healthcare providers and research institutions.
• Healthcare Outcomes Improvement : Leveraging real-world imaging data to enhance diagnostic accuracy and patient care pathways.

FAQs