Segment AR
Learn to create 3D anatomy
About
Explore 3D anatomical models in augmented reality. This app introduces middle schoolers to concepts in medical imaging and non-clinical healthcare careers through interactive modules and simulated segmentation experiences.
What's New in Segment AR
1.0.10
September 30, 2021
Developer apps
FAQ
What is Segment AR?
Segment AR is an augmented reality application designed to teach middle school students about 3D anatomy and introduce them to non-clinical healthcare careers. It allows users to view and interact with 3D anatomical models in an AR environment.
How does Segment AR teach anatomy?
Segment AR provides educational information on anatomy through interactive modules. Users can also engage in a simulated segmentation experience, which helps them understand how anatomical structures are identified and processed.
What age is Segment AR appropriate for?
Segment AR is rated for ages 4 and up, making it suitable for middle school students and younger learners interested in the subject matter. The app aims to make learning engaging and accessible.
What devices support Segment AR?
Segment AR is available on iPhones, iPads, and iPods, allowing a wide range of users to access its educational content. The app leverages augmented reality capabilities of these devices.
Is Segment AR free to use?
Yes, Segment AR is completely free to download and use. There are no in-app purchases or subscription fees associated with accessing its features and educational content.
How often is Segment AR updated?
Segment AR was last updated on September 30, 2021, with version 1.0.10. While there haven't been recent updates, the current version provides a stable educational experience.
Does Segment AR have ads?
No, Segment AR does not contain advertisements. The app is designed to provide an uninterrupted learning experience for its users.
What kind of careers does Segment AR introduce?
Segment AR focuses on introducing young people to possibilities in non-clinical healthcare careers, such as technicians and engineers involved in medical imaging and modeling. It aims to spark interest in these fields.
