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September 18, 2025Ergonomics5 citations

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

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ULUmberto León-Domínguez

Key Points

  • The aiCDSS-IVR aims to enhance neurocognitive assessment by integrating artificial intelligence with immersive virtual reality, improving clinical decision support.
  • Utilizing immersive virtual reality environments may provide a more accurate assessment of cognitive tasks compared to traditional methods, enhancing rehabilitation strategies.
  • This approach combines behavioural and physiological data, using biomedical sensors to develop a comprehensive digital twin for personalized patient assessments.
  • The review emphasizes the potential of this technological ecosystem to transform how brain injuries are assessed and rehabilitated, marking a significant advancement in clinical practice.

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.

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Umberto León-Domínguez (2025) studied this question.

synapsesocial.com/papers/68d463e231b076d99fa63215https://doi.org/10.1080/00140139.2025.2560581
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