Healthcare Datasets
Medical Imaging Data
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£19,999
About
Healthcare Annotated & Labeled Datasets (Custom, Multi-Modal)
1. About
This offering provides custom-annotated and expertly labeled healthcare datasets covering medical imaging, clinical documents, and structured medical data.
The datasets are designed to support AI-powered diagnostics, clinical decision support systems, and healthcare automation.
All datasets are created on demand based on client-defined medical use cases, annotation standards, and compliance requirements.
Strict quality control, privacy safeguards, and ethical data practices are followed throughout the lifecycle.
2 Dataset Coverage
- Medical Imaging Data X-Rays including chest, bone, dental, and orthopedic images MRI scans including brain, spine, cardiac, and musculoskeletal CT scans across multiple anatomical regions Ultrasound imaging Pathology and histopathology slides Retinal and ophthalmology images
- Clinical Documents & Reports Prescriptions including handwritten and digital formats Radiology reports Discharge summaries Laboratory test reports Clinical notes in de-identified form Insurance and medical claim documents
- Multi-Modal Healthcare Data Image and report paired datasets Scan and diagnosis label mappings Prescription and medication classification data Fully anonymized longitudinal patient timelines
3. Annotation & Labeling Capabilities
- Image and Video Annotation Image classification for disease and normal cases Bounding box annotation for organs, lesions, and abnormalities Polygon-based annotation Semantic segmentation Instance segmentation Anatomical keypoints and landmarks Video frame-level annotation Disease progression and tracking across time
- Text and Document Annotation Optical character recognition labeling Named entity recognition for diseases, symptoms, drugs, dosage, and lab values ICD-10 and SNOMED coding Clinical outcome tagging Prescription structure and intent tagging
4. Supported Formats
- Medical images delivered in PNG, JPG, and DICOM formats
- Annotation formats including COCO, YOLO, Pascal VOC, JSON, and XML
- Text and structured data in JSON, CSV, and TXT formats
- Custom client-specific formats available on request
5. Distribution
- Data types include images, videos, documents, and structured medical records
- Delivery via secure cloud access or encrypted data transfer
- Dataset structure includes organized directories, separated annotation files, and documentation
- Optional train, validation, and test splits provided
- Data volume scalable from small pilots to enterprise-scale datasets
6. Usage & Applications
- Primary Use Cases Medical image diagnosis and screening models Disease detection and classification systems Clinical decision support tools Radiology workflow automation Prescription understanding and validation Healthcare document processing Insurance and claims automation Multimodal healthcare AI model development
- Industries Served Healthcare AI startups Hospitals and diagnostic laboratories Medical research institutions Pharmaceutical and biotech companies Health insurance providers Digital health and MedTech platforms
7. Quality Assurance
- Multi-stage annotation workflows
- Healthcare-trained annotation teams
- Dual-layer quality verification
- Randomized sampling audits
- Optional clinician or domain expert review
- Accuracy levels up to 99 percent or higher on request
8. Privacy, Compliance & Ethics
- Complete anonymization and de-identification of data
- No personally identifiable information included
- Compliance-ready workflows aligned with HIPAA, GDPR, and local regulations
- NDA-supported data handling
- Secure access control and audit mechanisms
9. License
- License type is proprietary
- Non-exclusive, worldwide, perpetual usage rights
- Permission granted for AI and machine learning training
- Commercial use of trained models and outputs allowed
- Redistribution or resale of datasets is prohibited
- All usage must comply with healthcare data protection laws
10. AI Training Rights
- Training, fine-tuning, and evaluation of AI and ML models is permitted
- Commercial deployment of trained models is allowed
- Creation of derivative artifacts such as weights, embeddings, and predictions is permitted
- Outputs may be used in research, clinical, or enterprise systems
11. Who Can Use This Dataset
- AI and machine learning engineers
- Data scientists
- Medical researchers
- Hospitals and diagnostic centers
- Healthcare enterprises
- Digital health and MedTech startups
12. Additional Notes
- Custom labeling guidelines supported
- Domain-specific medical ontology creation available
- Human-in-the-loop annotation workflows
- Continuous dataset expansion supported
- Long-term enterprise data partnerships available
<u>Voxiphy delivers secure, compliant, and human-verified healthcare datasets that power reliable and scalable medical AI systems.</u>
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£19,999
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