Explore how imaging studies move from anatomical inspection to researcher-guided annotation and review. The interactive workspace is a design demonstration; AI-assisted refinement and mathematical modeling remain research and development directions.
Begin with the imaging study and the anatomical structures of interest.
Keep researcher decisions central to annotation and review.
Explore computational assistance without overstating readiness.
Muradian Intelligence is a research initiative exploring anatomy-focused annotation workflows for researchers and clinicians. The intended workspace brings image inspection, annotation context, and review into a connected process.
Contextualize the study.
Examine slices and structures.
Explore contour definition and proposed refinement.
Review annotations with researcher oversight.
Try the cardiac annotation concept below. Explore the example image, compare authored AI-candidate contours with geometric smoothing, and make local reviewer edits. No clinical image interpretation or model inference occurs.
Interactive illustrative heart annotation concept · Predefined candidate contours and geometric smoothing, not medical AI inference. No patient data.
The website demonstrates synthetic slice navigation and example ROI overlays.
Mathematical models for geometric constraints and contour refinement are being investigated.
AI-assisted, semi-automated annotation remains under development and requires validation.
Explore planned research areas, view their anatomical visualizations, and follow the development status of each module.