I need healthcare data
Discover AI-ready healthcare datasets or tell us exactly what clinical data you need sourced.
- Healthcare AI Data Marketplace
- Custom data sourcing
- Dataset preparation & QA
Access AI-ready healthcare datasets, transform your existing clinical data into high-quality ground truth, and clinically evaluate healthcare AI models.
Whether you need data, already own a dataset, or have a model ready for clinical evaluation, SCILabel provides a pathway forward.
Discover AI-ready healthcare datasets or tell us exactly what clinical data you need sourced.
Transform your existing clinical datasets into structured, clinically reviewed AI-ready ground truth.
Evaluate model outputs against clinical expertise, benchmarks and structured evaluation criteria.
Explore multimodal healthcare data for AI development, training, evaluation and research — supported by SCILabel's data sourcing, annotation, clinical review and quality-assurance workflows.
Select a category to explore specific datasets, specifications, annotation options and available samples.
CT · MRI · X-ray · DICOM
WSI · Histology · Tissue · Cells
12-lead · Holter · Rhythm strips
EEG · Neurophysiology · Events
PPG · Pulse · Cardiovascular signals
Wearables · RPM · Sensor streams
EHR · Notes · Reports · Documents
Clinical speech · Conversations · Audio
Surgery · Endoscopy · Procedures
CBCT · Dental DICOM · Radiographs
Fundus · OCT · Retinal imaging
Skin imaging · Lesions · Clinical photos
Cancer imaging · Pathology · Clinical data
CT · MRI · X-ray · Radiology reports
2D · 3D · Doppler · Clinical ultrasound
Genomic · Molecular · Sequence data
Drug development · Safety · Research
Scientific · Experimental · Research data
Trials · Outcomes · Research records
Laboratory · Tests · Diagnostic results
Sleep · SpO₂ · Respiratory signals
Device outputs · Sensors · Monitoring
Clinical text · Assessments · Interactions
Imaging · Pathology · Clinical · Research
Tell SCILabel the modality, geography, clinical area, volume and intended AI use case.
Source specialized healthcare data according to modality, geography, use case and project requirements.
Clinically informed annotation across medical imaging, pathology, signals, text, audio and video.
Structured expert review, adjudication and multi-stage quality-control workflows.
Evaluate healthcare AI for accuracy, safety, errors, hallucinations and clinical usefulness.
SCILabel supports healthcare AI teams across multiple clinical specialties, data types and development stages.
Data, annotation, clinical expertise or model evaluation — tell us what you're building.
Start a conversation with the SCILabel team.
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