Medical imaging data solutions for AI and life sciences

Solutions for medical AI and medical-device teams

Medical AI teams can define the modality, anatomy, pathology, target population, acquisition constraints, clinical ground truth and permitted use they need. MedCorpora converts that specification into aggregate hospital-inventory questions before any patient-level data is prepared.

Development and validation are treated as different evidence problems. Patient-safe cohort design, source and scanner distributions, label provenance, data lineage and external holdouts are planned around the model's intended use.

Real-world imaging for life sciences and clinical research

Life-sciences and research requirements can combine disease-focused imaging with radiology reports, pathology, treatment history, laboratory results, follow-up studies or clinical outcomes where those sources are authorized and technically linkable.

MedCorpora can assess retrospective research, longitudinal cohort characterization, biomarker-development inputs and imaging-linked evidence. It does not imply that a specific cohort is already verified, provide clinical advice or promise regulatory acceptance.

Medical imaging and clinical data components

A cohort can include only the components required for the approved purpose. Every requested component is checked separately because an available imaging study does not guarantee an available report, pathology result, annotation or longitudinal outcome.

• Source DICOM organized by patient, examination and series
• MRI, CT, X-ray and ultrasound with acquisition and scanner metadata
• Radiology reports with study linkage, section structure and text de-identification
• Longitudinal examinations, demographics and encounter context where available
• Pathology, laboratory results, procedures, treatment history and outcomes where linkable
• Existing annotations plus newly scoped clinical annotation or adjudication
• Traceable NIfTI, tables, manifests and other approved derived formats

From cohort discovery to controlled delivery

MedCorpora operates the path from a buyer requirement to an approved release. The workflow starts with aggregate inventory and keeps source authority, privacy, clinical meaning and technical quality connected through every transformation.

• Specify modality, pathology, cohort, ground truth, geography and permitted use
• Assess aggregate hospital inventory and international sourcing feasibility
• Establish programme-specific authorization before patient-level preparation
• De-identify DICOM metadata, reports and relevant pixel content
• Curate series, normalize clinical fields and resolve source linkages
• Run image, metadata, label, privacy and cohort-level quality controls
• Release an approved, versioned package through a controlled delivery path

Hospital data infrastructure and sourcing geography

MedCorpora works from the source layer: participating hospital archives, aggregate inventory, programme authority and repeatable release operations. Hospitals and authorized data controllers retain control of source records and any authorized re-identification mapping.

Current sourcing availability includes hospital relationships in India. MedCorpora can assess and pursue buyer-specific US and other international requirements, but candidate geographies, sites and preliminary counts are not represented as verified inventory.

Availability is verified, not implied

This solutions page describes MedCorpora's sourcing and data-engineering capability. It is not a public dataset catalogue, a promise of case volume or evidence of blanket commercial rights over hospital records.

Feasibility, eligible counts, source sites, ground truth, annotations, demographics, permissions, price and timeline are confirmed for the buyer's specification. Programme-specific authorization must be established before an approved data release.