Visual knowledge base

Neurosurgery Visual Atlas

A clinician-built visual knowledge base using AI-assisted medical illustration to explain how anatomy, mechanism, imaging, operative risk, and decision boundaries fit together. Clinician-built visual guides to anatomy, imaging, operative risk, and decision boundaries.

Format
AI-assisted illustration
Review
Status disclosed per page
Boundary
Educational, not patient-specific

AI-assisted illustration. Review status is shown per guide; no image is patient-specific or for diagnosis or surgical planning.

Atlas entries

Explore the visual guides.

Published entries carry a visible version, content-update date, and a review record distinguishing completed, confirmed, and pending work. Work in development remains clearly separated from reviewed or review-pending educational content.

Version and review status appear on every guide.

In development: operative risk anatomy and monitoring. Unpublished work is not part of the reviewed Atlas.

Page architecture

What every Atlas page must answer.

The goal is not a gallery of attractive anatomy. Each sequence should clarify one clinical question from first mechanism to final boundary.

  1. 01Clinical question

    Define the uncertainty in one sentence.

  2. 02Visual mechanism

    Show the anatomy or pathology that drives it.

  3. 03Evidence

    Connect the schematic to imaging, monitoring, or literature.

  4. 04Operative relevance

    Explain what the visual changes in planning or risk.

  5. 05Decision boundary

    State what cannot be inferred and when to defer.

Transparent by design

The image is only the first layer.

Every published page will carry an AI-use disclosure, clinical review status, figure-level captions, source references, version number, and separate content-update and review dates.

View the Atlas standard