Healthcare & Medical Imaging
AI Annotation for Medical Imaging & Healthcare AI Teams
JTheta.ai helps healthcare and medtech teams annotate medical images with precision and
efficiency. Whether you’re building AI to detect tumors, analyze cardiac scans, or segment
neural structures — our platform offers DICOM and NIfTI annotation tools that meet clinical and
research demands.
Manual medical image labeling is slow, inconsistent, and costly
Lack of HIPAA-ready annotation platforms
Tools not built for complex formats like DICOM/NIfTI
JTheta.ai simplifies everything
AI-assisted labeling, medical file format compatibility,
role-based collaboration, and export-ready datasets for AI model training.
Supported Workflows in Healthcare & Life Sciences
Brain tumor segmentation (MRI, NIfTI)
Cardiac structure annotation (CT, DICOM)
Medical imaging research for AI training
Chest X-ray labeling and lung disease classification
Federated research datasets (multi-hospital annotation)
Pathology image annotation (coming soon)
Key Features for Medical Teams
- DICOM/NIfTI Viewer with slice navigation
- Voxel & pixel-level annotation
- AI-assisted auto-labeling for radiology data
- Compliance-ready cloud infrastructure (HIPAA/GDPR)
- Role-based access: Radiologist, Reviewer, Manager
- Export in COCO, JSON, NRRD for model training
Who It’s For?
AI-assisted labeling, medical file format compatibility, role-based collaboration, and export-ready datasets for AI model training.
Why Healthcare Teams Choose JTheta.ai?
- Purpose-built for medical-grade image formats
- AI speeds up labeling with radiologist-level accuracy
- Supports secure collaboration across hospitals
- Ready-to-use formats for AI training & research
FAQs
→ We are built with HIPAA/GDPR foundations and offer secure deployment options.
→ Yes – our viewer supports multiple slices and stacked modalities.
→ Yes – via secure, role-based collaboration tools.