Precision medical data annotation powered by clinical expertise.

Power your healthcare AI with precision-annotated datasets validated by board-certified specialists. From diagnostic imaging to clinical documentation, we deliver the highest quality training data for medical AI that saves lives.

HIPAA Compliant
SOC 2 Type II
99.8% Accuracy

Why leading medical AI teams choose SliceLabel

We revolutionize medical AI development by combining board-certified physician expertise with cutting-edge technology, delivering the most accurate and reliable annotation platform in healthcare.

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Clinical-Grade Accuracy

Every annotation is validated by board-certified physicians, ensuring 99.8% clinical accuracy that meets regulatory standards for medical AI applications.

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10x Faster Than In-House Teams

Our global network of medical specialists can process thousands of studies simultaneously, delivering results in hours instead of weeks.

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HIPAA-First Architecture

Built from the ground up for healthcare data with end-to-end encryption, zero-trust security, and full compliance documentation.

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Real-Time Quality Insights

Monitor annotation progress, inter-rater reliability, and quality metrics through our comprehensive analytics dashboard.

Clinical-grade annotation across all medical modalities

Our platform combines advanced AI pre-annotation with expert clinical validation to deliver the most accurate medical training datasets. Every annotation is reviewed by board-certified physicians in the relevant specialty.

Diagnostic Imaging

Precision annotation of radiological studies including CT, MRI, X-ray, mammography, and nuclear medicine. Expert radiologist validation ensures clinical accuracy for diagnostic AI development.

  • DICOM-native processing with full metadata
  • 3D volumetric segmentation and measurement
  • Board-certified radiologist validation
  • FDA-compliant annotation workflows
  • Multi-institutional dataset aggregation

Clinical NLP & Documentation

Advanced natural language processing for clinical notes, discharge summaries, pathology reports, and electronic health records with medical terminology extraction and clinical reasoning annotation.

  • Medical entity recognition (medications, procedures, diagnoses)
  • Clinical relationship mapping and temporal reasoning
  • ICD-10, CPT, and SNOMED CT coding
  • De-identification with PHI protection
  • Multi-language medical text processing

Digital Pathology & Microscopy

Cellular-level annotation of histopathology slides, cytology specimens, and whole slide imaging with cancer grading, biomarker identification, and molecular pathology analysis by certified pathologists.

  • Whole slide imaging (WSI) at 40x magnification
  • Cancer staging and grading (TNM classification)
  • Immunohistochemistry scoring and quantification
  • Mitotic figure counting and cellular morphology
  • Molecular pathology and genetic variant annotation

Comprehensive medical datasets with clinical context

Access our extensive collection of real-world medical data combining imaging studies with corresponding clinical documentation, providing the rich context needed for robust AI model development.

๐Ÿฅ Medical Imaging with Clinical Notes

5+ Million Studies

Medical imaging studies paired with physician reports and clinical documentation for comprehensive AI training datasets.

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Medical Imaging Studies

X-Ray, CT, MRI, Ultrasound, and Mammography across all specialties

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Radiology Reports

Original physician findings, impressions, and diagnostic interpretations

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Clinical Codes

ICD-10 diagnoses, CPT procedures, and clinical outcome data

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Patient Context

Clinical history, indications, and follow-up recommendations

๐Ÿ“Š Longitudinal EMR Data

Patient Journey Records

Electronic medical records tracking patient care over time with temporal context for predictive modeling applications.

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Prescriptions & Medications

Complete medication histories, dosages, and treatment responses

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Laboratory Results

Blood work, chemistry panels, biomarkers, and diagnostic tests

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Vital Signs & Monitoring

Blood pressure, heart rate, temperature, and clinical measurements

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Clinical Encounters

Visit notes, procedures, admissions, and discharge summaries

๐Ÿ”— Linked Clinical Context

Every imaging study is connected to its corresponding clinical documentation, providing the full patient story needed for comprehensive AI training.

โฑ๏ธ Temporal Relationships

Longitudinal EMR data captures disease progression, treatment responses, and outcome trajectories over time.

๐ŸŽฏ Multi-Modal Integration

Combine imaging findings with lab results, medications, and clinical notes for holistic patient understanding.

Custom data partnerships

Looking for specific patient populations, rare conditions, or specialized imaging protocols? We can work with healthcare institutions to curate targeted datasets that meet your exact research requirements.

Explore Partnership Options

Uncompromising clinical validation & compliance

Every dataset undergoes rigorous clinical validation by board-certified specialists. Our quality assurance processes ensure your AI models train on the most accurate, clinically-relevant data available.

Expert Clinical Validation

Multi-tiered validation process with board-certified physicians, inter-rater reliability testing, and consensus review. All annotations meet or exceed clinical practice standards with documented quality metrics.

Regulatory Compliance

Full HIPAA, GDPR, and FDA 21 CFR Part 11 compliance with comprehensive audit trails. Pre-validated datasets ready for regulatory submissions and clinical trial applications.

Enterprise Security

SOC 2 Type II certified infrastructure with end-to-end encryption, zero-trust architecture, and air-gapped deployment options. Your sensitive medical data never leaves your security perimeter.

How SliceLabel works

From data upload to validated annotations, our streamlined process ensures quality and speed at every step.

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Secure Data Upload

Upload your medical data through our HIPAA-compliant platform with end-to-end encryption and zero-trust architecture.

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AI Pre-Annotation

Our advanced AI models provide initial annotations to accelerate the process while maintaining human oversight for accuracy.

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Expert Validation

Board-certified specialists in relevant medical fields review and validate every annotation for clinical accuracy.

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Quality Assurance

Multi-tier quality checks including inter-rater reliability testing and consensus review ensure 99.8% accuracy.

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Delivery & Integration

Receive validated datasets in your preferred format with full audit trails and seamless API integration.

Powering AI across medical specialties

Our expert network spans every major medical discipline, ensuring domain-specific accuracy for your AI applications.

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Cardiovascular Medicine

ECG analysis, cardiac imaging, and interventional cardiology with expert cardiologist validation.

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Neurology & Radiology

Brain imaging, stroke detection, and neurological disorder classification by board-certified neurologists.

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Pathology & Oncology

Cancer diagnosis, staging, and biomarker identification by certified pathologists and oncologists.

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Ophthalmology

Retinal imaging, diabetic retinopathy, and glaucoma detection with ophthalmologist expertise.

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Pulmonology

Chest imaging, lung disease detection, and respiratory disorder analysis by pulmonologists.

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Emergency Medicine

Trauma imaging, emergency diagnostics, and critical care applications with ER physician input.

Frequently asked questions

Everything you need to know about our medical AI training platform.

What makes your medical annotations clinically accurate?

Every annotation is performed or validated by board-certified physicians in the relevant medical specialty. We maintain strict quality control with inter-rater reliability testing, consensus review processes, and continuous validation against clinical outcomes. Our annotation accuracy consistently exceeds 99.8%.

How do you ensure patient privacy and HIPAA compliance?

All datasets are fully de-identified according to HIPAA Safe Harbor standards before annotation. We use advanced de-identification techniques including face removal from medical images, date shifting, and removal of all 18 HIPAA identifiers. Our platform is SOC 2 Type II certified with end-to-end encryption.

Can you create custom datasets for specific medical conditions?

Yes, we specialize in custom dataset curation. Our clinical data science team can work with your institution to create datasets for rare diseases, specific patient populations, or novel imaging techniques. We have experience with over 200 medical conditions across all major specialties.

What file formats and ML frameworks do you support?

We support all major medical imaging formats (DICOM, NIfTI, NRRD) and provide data in formats optimized for PyTorch, TensorFlow, and other ML frameworks. Our APIs integrate directly with cloud ML platforms including AWS SageMaker, Google Cloud AI, and Azure ML.

Ready to accelerate your medical AI development?

Join leading healthcare AI companies using our platform to build life-saving diagnostic tools. Get access to our dataset library and start training your models today.