Medical

Buy and sell medical data.

2 subtypes

Available Now · 5 listings

Pharmaceutical QC Lab Instrument Readings — 12M Batch Tests, FDA 21 CFR Part 11 Compliant

Quality control lab data from 6 pharmaceutical manufacturing sites including HPLC, dissolution, and particle size analysis results. Each batch test linked to product lot, equipment calibration records, and pass/fail disposition. Enables AI-driven QC anomaly detection and process analytical technology (PAT) models.

12M batch test recordslisted

Clinical Radiology Reports — 8.4M Structured Reports with Matched DICOM Studies

Radiology dictation reports from a 12-hospital network paired with their source imaging studies (CT, MRI, X-ray). Reports are NLP-parsed into structured findings, impressions, and follow-up recommendations. Powers radiology AI copilots and automated report generation.

8.4M reports + matched imagingcontact

Retinal OCT Scan Dataset — 2.1M High-Res Images, Annotated by Board-Certified Ophthalmologists

Optical coherence tomography scans from 380K unique patients across 22 ophthalmology clinics. Each image carries multi-label annotations for diabetic retinopathy, macular degeneration, and glaucoma staging. Built for computer vision models targeting early disease detection.

2.1M images (18 TB)listed

Emergency Room Triage Call Recordings — 340K Hours, De-identified, HIPAA Compliant

Audio recordings from 14 Level I trauma center emergency departments spanning 2018-2026. Each call is transcribed, speaker-diarized, and tagged with chief complaint codes (ICD-10). Ideal for training medical triage AI, clinical NLP models, and patient routing systems.

340,000 hours (~4.2 PB raw audio)make_offer

Synthetic Medical Records — 5M Patient Journeys, Clinically Validated Distributions

Fully synthetic electronic health records generated using Synthea and fine-tuned with real distributional parameters from 3 health systems. Includes encounters, conditions, medications, procedures, lab results, and insurance claims for 5 million synthetic patients. Zero privacy risk — ideal for healthcare AI development, demo environments, and regulatory sandboxes.

5M synthetic patients, 120M encounterslisted