Primary supervisor
Jiazhou 'Joe' LiuThe convergence of Artificial Intelligence (AI) with immersive technologies such as Augmented Reality (AR) and Virtual Reality (VR) is rapidly transforming the landscape of healthcare and medical training. While AI enhances decision-making through data-driven insights, AR and VR offer intuitive, spatial, and interactive environments that support diagnostics, education, therapy, and surgical planning. However, the integration of these technologies remains fragmented, with varying degrees of adoption, technical maturity, and clinical impact.
This project proposes a systematic literature review to consolidate and critically evaluate current research at the intersection of AI and AR/VR in the medical domain. By synthesising findings across peer-reviewed publications, this review aims to identify common application areas (e.g., diagnosis, surgery, rehabilitation, mental health, etc.), technical integration methods, benefits, and limitations. It will also explore how user interaction, data visualisation, and real-time feedback are managed in immersive AI-enabled medical systems.
Student cohort
Aim/outline
To systematically review and synthesise existing academic literature on the integration of AI with AR/VR technologies in the medical field, with the goal of identifying current trends, application domains, technological frameworks, and research gaps to inform future interdisciplinary development in intelligent immersive healthcare systems.
URLs/references
Required knowledge
- Strong academic reading and writing skills
- Strong communication skills
- Knowledge of virtual reality (VR) and augmented reality (AR) research and applications
- Knowledge of applying existing AI models (no need to implement new models)