Augmented Reality and AI for Medical Training Simulators

The evolution of medical education has witnessed significant transformations with the integration of emergingtechnologies. Among the most transformative are Augmented Reality (AR) and Artificial Intelligence (AI), which together areredefining the landscape of medical training. AR creates immersive learning environments by overlaying digital informationonto the physical world, while AI adds an intelligent layer that adapts to learner needs, assesses performance, and offerspersonalized feedback. This paper explores the convergence of AR and AI in medical training simulators, detailing how thissynergy is reshaping anatomical learning, surgical skill acquisition, patient interaction scenarios, and emergency responsetraining. It discusses the pedagogical advantages, the technological architectures underpinning these systems, challenges inimplementation, and the future trajectory of intelligent simulation platforms. Through predictive analytics, adaptive interfaces,and real-time feedback, AR and AI are equipping medical students and professionals with the experiential knowledge andconfidence required in high-stakes clinical environments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15311600
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
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article

Augmented Reality and AI for Medical Training Simulators

Zenodo (CERN European Organization for Nuclear Research)
Surgical Simulation and Training
article

Augmented Reality and AI for Medical Training Simulators

article en

Abstract

The evolution of medical education has witnessed significant transformations with the integration of emergingtechnologies. Among the most transformative are Augmented Reality (AR) and Artificial Intelligence (AI), which together areredefining the landscape of medical training. AR creates immersive learning environments by overlaying digital informationonto the physical world, while AI adds an intelligent layer that adapts to learner needs, assesses performance, and offerspersonalized feedback. This paper explores the convergence of AR and AI in medical training simulators, detailing how thissynergy is reshaping anatomical learning, surgical skill acquisition, patient interaction scenarios, and emergency responsetraining. It discusses the pedagogical advantages, the technological architectures underpinning these systems, challenges inimplementation, and the future trajectory of intelligent simulation platforms. Through predictive analytics, adaptive interfaces,and real-time feedback, AR and AI are equipping medical students and professionals with the experiential knowledge andconfidence required in high-stakes clinical environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Surgical Simulation and Training
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