Anatomy and imaging.
Better, together.

A radiology education project connecting image-based anatomy, interactive 3D teaching models, and active learning.

THE EDUCATIONAL APPROACH

Make spatial relationships easier to understand.

ImagingNest AI brings anatomical exploration into the imaging workspace. Students can move between an image stack and a rotatable teaching model, then use guided activities to explain the relationships they observe.

The current labs focus on the abdomen and male and female pelvis. Foundational modules introduce image orientation, CT, MRI, and ultrasound. Practice cases reinforce image context and careful interpretation of teaching models.

PROJECT LEAD

Anand Bhatia, MD, MBA

Clinical Professor of Anatomy
CUNY School of Medicine

imagingnest@gmail.com

MODEL & DATA TRANSPARENCY

Know what you are looking at.

Source images

Image stacks retain their dataset and acquisition context. Read the viewer’s data notes, including scan coverage and case-specific factors.

Draft organ envelopes

Added contours summarize selected organ boundaries for teaching. They are not expert tumor annotations or clinically validated segmentations.

Schematic anatomy

Small ducts, vessels, and selected other structures may illustrate typical anatomy. Their courses and diameters do not establish this patient’s exact anatomy.

AI, interpretation, and responsible learning

ImagingNest AI is the project name. This hub provides authored learning activities and teaching model exploration; it does not generate clinical diagnoses. Verify model-derived observations against the source images and references.

Your study activity

Saved labs and module completion are stored locally in your browser. Account registration and sign-in are separate from these browser-local study markers. Read the account privacy page for details. Each viewer explains how its own files and annotations are handled.

START WITH A QUESTION

See where the anatomy takes you.

Explore the anatomy labs