Towards an artificial intelligence clinical decision-support system based on immersive virtual reality for neurocognitive assessment

Abstract

Recent cost reductions and technological advances have enabled the use of Immersive Virtual Reality (IVR) to assess performance tasks in high-fidelity 3D environments. This review outlines the current state of its application in neurocognitive assessment and examines the integration of Artificial Intelligence algorithms and biomedical sensors to standardise laboratory testing. An AI-driven clinical decision-support system (aiCDSS-IVR) is introduced as a modular framework in which immersive virtual reality, artificial intelligence, and biometric sensors are integrated to construct a digital twin that combines behavioural and physiological data for clinical decision support. This technological ecosystem could facilitate a more personalised approach to the assessment and rehabilitation of brain injuries.
Practitioner Summary:

This study examines the integration of Immersive Virtual Reality (IVR) and Artificial Intelligence in neurocognitive assessment, exploring methodological approaches and clinical challenges. By reviewing state-of-the-art IVR applications and investigating machine learning implementation, an integrated system emerges to aid neuropsychologists in brain damage evaluation and rehabilitation.