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Updated: Oct 13, 2026

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
Published on: March 27, 2013
AI assisted development of interactive multimedia modules for resident self-directed learning
Sameed Khan1, Charit Tippareddy2, Navid Faraji2
1Cleveland Clinic Lerner College of Medicine, 9500 Euclid Avenue, Cleveland, OH, 44195, USA; University Hospitals Cleveland Department of Radiology, 11100 Euclid Avenue, Cleveland, OH, 44106, USA.
Abstract:
Traditional digital supplements for resident self-directed learning, such as PowerPoint slides and recorded lectures, are primarily passive and may have lower effectiveness due to limitations of the communication medium. Interactive multimedia modules incorporating text explanations, dynamic interactive diagrams, and interspersed assessments represent stronger candidates for supplementing resident self-directed instruction alongside traditional avenues of teaching. Creating interactive modules requires a high time commitment and relevant technical expertise, however, AI assistants such as Claude and ChatGPT can enable radiology educators to produce comprehensive, aesthetic, and well-crafted educational modules. This article provides guidance for educators on how to use AI assistants to create effective and accurate interactive multimedia modules. Using an example of a module for hip arthrocentesis, the article walks through a pedagogy-first workflow from learning objective to finished artifact.
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