De-identified imaging datasets
Segmed positions its dataset as de-identified medical imaging data, with DICOM images, radiology reports, and metadata available for research-oriented workflows.
Segmed
RevendiquerSegmed is a real-world medical imaging data platform for research, AI teams and life sciences, with de-identified images, reports and records.
Overview
Segmed is a real-world imaging data platform focused on de-identified medical images, reports, and related records for AI development, clinical research, and life sciences workflows. The company describes itself as a source of regulatory-grade medical imaging data and a platform for making those studies available at scale.
Its Openda product is positioned as the company’s proprietary data platform for exploring and accessing imaging datasets. The site emphasizes search, patient-level navigation, and secure access to diverse datasets sourced from healthcare partners, with intended use across research, validation, and data management tasks.
Core Features
Longitudinal and multimodal data
The platform is described as supporting longitudinal studies and multimodal data, including imaging studies and related records for research and validation use cases.
Smart search with synonym support
Openda includes search assistance with synonym support through SNOMED term selection, helping users locate relevant cases more precisely.
Patient-level sorting and study navigation
Users can group studies by patient and sort them by date, modality, or body part to move through longitudinal imaging records more efficiently.
Data aggregation across providers
The source says Openda aggregates imaging data from hospitals, imaging centers, and teleradiology clinics into a single dataset for analysis.
Privacy and security controls
Segmed describes privacy and security controls around access to sensitive health information, and its broader site links to compliance and security resources.
Common Use Cases
AI model development
Teams building diagnostic or triage models can use de-identified imaging datasets to support training and iterative development.
Model validation
Organizations preparing submissions or internal evidence packages can use imaging data and related records for validation workflows and performance testing.
Longitudinal imaging research
Researchers studying disease progression or treatment timelines can review longitudinal studies at the patient level and sort by date or modality.
Clinical research and evidence generation
Life sciences, medical device, and academic teams can use diverse datasets to support clinical research, feasibility, and comparative analysis.
Imaging data management
Data management teams can use the platform’s de-identification and exploration tools to prepare and organize imaging data for downstream use.
Pros and Cons
Pros
- Focuses on de-identified medical imaging data, which is directly relevant to AI and research workflows.
- Covers DICOM images, radiology reports, metadata, and other related records in the source pages.
- Supports longitudinal review and patient-level sorting for studies that need sequence-based analysis.
- Aggregates data from multiple healthcare providers, which may help with dataset diversity.
- Offers a self-serve platform experience through Openda, including search and navigation tools.
Cons
- Pricing is not publicly available on the site; the pricing URL currently returns a not-found page.
- The source material does not provide a complete technical spec for integrations, deployment options, or API access.
- Several compliance and governance claims are referenced at a high level, but the public pages shown here do not fully document every certification or process detail.
FAQ
What is Segmed?
Segmed provides a platform for accessing de-identified medical imaging data and related records for AI, research, and clinical data workflows. The site also describes Openda as Segmed’s proprietary data platform for searching and working with imaging datasets.
Who is Segmed for?
The source describes use by life sciences, medical device, technology, healthcare provider, CRO, pharmaceutical, and academic teams that need imaging data for research, validation, or data management workflows.
How do users access the data?
The site presents Openda as a self-serve platform with search, patient sorting, and data access features. It is described as a place where users can register for an account and access some imaging data right away.
Is pricing publicly listed?
The pricing page at `/pricing` is currently not available on the site, so pricing and commercial terms are not verified in the source material.
What compliance details are confirmed here?
The source highlights de-identification and security-related controls, and it also links to security, privacy, trust, and compliance pages. Specific certifications should be confirmed directly from those pages before relying on them.
Quick Facts
- Category
- Real-world medical imaging data platform
- Primary product
- Openda
- Primary users
- Researchers, clinicians, AI developers, life sciences and medical device teams
- Data types mentioned
- Medical images, DICOMs, radiology reports, metadata, records
- Source domain
- segmed.ai
- Pricing page
- Not found