DICOM Image Annotation

For Radiologists and Medical AI Teams

Purpose-Built for Healthcare Imaging and Diagnostic AI

JTheta.ai empowers healthcare AI professionals with a dedicated DICOM image annotation platform tailored to the complexity of medical imaging. Whether you’re building diagnostic models for tumor detection, segmentation tools for MRI/CT scans, or training radiology AI pipelines — our DICOM workflow simplifies the labeling process without compromising accuracy.

Key Features

Our DICOM Annotation Tool

DICOM Viewer with Medical Precision

● Native DICOM file support
● Pixel-level annotation tools
● Frame-by-frame slice navigation (MRI, CT, PET)

AI-Assisted Labeling for Medical Imaging

● Pre-label anatomical structures using AI models
● Manual override and fine-tuning for precision

Medical Tools Built-In

● Grayscale control, zoom, contrast adjustment
● Multi-modal image stack support
● Metadata display for diagnostic context

Secure Collaboration for Medical Teams

● HIPAA-ready infrastructure
● Role-based access: Radiologist, Reviewer, Admin
● Annotate and review with full traceability

Interoperable Export Formats

● JSON, NRRD, NIfTI-compatible outputs
● Seamless model training handoff to AI pipelines
● Supports PACS and healthcare data storage systems

Use Cases for DICOM Annotation

Who Should Use It?

Radiologists

Medical Imaging Researchers

Healthcare AI Startups

Clinical Data Science Teams

Academic & Research Institutions

Why Choose JTheta.ai for Medical Annotation?

Unlike generic annotation tools, JTheta.ai is optimized for medical-grade workflows and clinical-grade precision. From image ingestion to compliant exports, every step is designed for real-world healthcare and AI integration