An Augmented Reality Platform for Medical Self-Diagnosis Training
Aran Aharoni, Guy Lavy, Ilan Vol, Shachar Maidenbaum · 2025
Diagnosing medical conditions is critical for medical personnel. Current training tools include textbooks or descriptive scenarios that lack interactivity and offer limited hands-on experience or expensive scenarios with actors. Interactive virtual simulations hold great promise, but are limited by a lack of tangibleness and realism. We suggest that augmented reality may be a key addition to the training toolbox, specifically augmenting the user’s body, thus providing a tangible platform for interaction. We developed such a self-diagnosis training platform and performed basic usability testing. We found that users could successfully use the platform, with performance correlated with self-reported medical knowledge.