Faculty Advisor(s)

Elaine Halesey

Download

Download Poster (279 KB)

Abstract

This project explains artificial intelligence (AI) and how it is used in computed tomography (CT). AI and CT are both defined, and the project shows how both relate to each other to create a better overall outcome of the studies. Different uses of AI are demonstrated in the following ways: patient positioning, 3D analysis, and within a lung screening study. Even though there is only one example of using AI in a lung screening study, AI can be used in almost every study to either measure, identify, or locate. Arteries, nodules, and tumors are some examples that AI can detect within CT, therefore making it an important new aspect. A few advantages of AI are in the project such as it can improve efficiency and productivity. A few disadvantages are also listed such as making sure human expertise doesn’t go away with the addition of AI. Both advantages and disadvantages give certain viewpoints to decide whether AI should stay and continue to grow in the medical imaging field.

Publication Date

2026

Document Type

Poster

Department

Medical Imaging

Keywords

artificial intelligence, computed tomography, patient positioning, 3D analysis, lung screening

Disciplines

Medical Sciences | Medicine and Health Sciences

How AI Is Used in Computed Tomography

Share

COinS