Anatomage Tablet is a cost-effective learning solution utilizing Anatomage’s world-class anatomy 3D visualization technology. Used alongside the Anatomage Table, or as a standalone learning tool, the Anatomage Tablet offers the most accurate learning data made for accredited anatomy and physiology programs.
Anatomage Tablet’s content is derived from the renowned Anatomage Table’s real human anatomy data. It ensures accurate learning materials for students who want to review anatomy concepts.
Anatomage Tablet can display interactive anatomy images that can be interacted with, touched, and manipulated for better views at your fingertips. This offers convenient access to an engaging anatomy learning experience.
Anatomage Tablet offers a budget-friendly, alternative route to access Anatomage Table’s real human anatomy – from digital bodies to pathology library – aiding students in learning anatomy concepts.
Anatomage Tablet transforms real human anatomy data into interactive anatomical images that intrigue students’ learning engagement. Complex anatomical structures (e.g. vascular structures) can be visualized in animated videos, making it easier for students to appreciate and understand spatial anatomy.
The tablet features two digital bodies that are highly segmented and annotated for easy anatomy references.
Anatomage Tablet’s content is strictly tailored to follow standard anatomy courses and programs, assisting students in autonomously reviewing anatomy concepts. As a touchscreen tablet, students can easily navigate the device’s content and explore the entire ecosystem of human anatomy in true-to-life images.
Using content from the Anatomage Table, users can personalize their existing Anatomage learning experience to achieve personal academic goals.
Anatomage Tablet enables a life-like, interactive view of medical conditions. With more than 300 disease cases for clinical analysis, Anatomage Tablet allows users to inspect anatomical abnormalities through real-patient cases directly on the tablet.
Users can also reconstruct CT/MRI scans into interactive displays for better visualization. This functionality assists users in reading imaging data and identifying clinical findings associated with the diseases.
