Upload a medical scan, select an AI model, and get fully processed results in your browser — no installation, no GPU management, no setup required. Click any model card below for details.
Click-to-segment 3D scans interactively in your browser — left-click to include, right-click to exclude, and the model refines the contour live.
MAISI-v2 3D latent-diffusion model for generating synthetic CT and MR-brain volumes — no input scan required.
Merlin is Stanford's vision-language foundation model for 3D chest/abdomen CT. From a single CT it produces a whole-volume image embedding (2048-d) for retrieval and downstream modelling, scores the scan against a free-text description (image–text contrastive, 512-d), or predicts EHR phenotype findings across 1,692 phecodes as a ranked text report. Inference-only on this platform; outputs are vectors (.npy) or text (.txt).
Clinical CT segmentation suite from ENHANCE-PET covering cardiac chambers, digestive tract, lung lobes, muscles, organs, vertebrae, ribs, and body composition.
Contrast-agnostic whole-body skeletal-muscle and bone segmentation for MRI — 99 structures spanning neck, shoulder, thorax, abdomen, pelvis, thigh, and leg — from the MuscleMap toolbox (mm_segment).
Whole-body human CT segmentation tool that maps 117 anatomical structures — organs, bones, muscles, and major vessels — in a single pass.
Whole-body human MRI segmentation covering 50 anatomical structures across organs, bones, vessels, and major muscle groups.