فهرست نشریات علمی دسترسی آزاد ایران

Introduction: Technological advancements in the healthcare industry have introduced transformative opportunities to enhance patients' quality of life (QoL) and optimize clinical services. As an emerging technology, virtual reality (VR) provides simulated three-dimensional (3D) environments with diverse interactive capabilities. In academic fields, the application of VR is expanding into various medical sciences, including neurological disorders. It plays a valuable role in cognitive assessments for diagnosis, rehabilitation, and medical education. Furthermore, it serves as an effective tool for training residents in preoperative planning and intraoperative procedures, as well as in interventional radiology. This study aims to review the scientific literature on the application of VR in the diagnosis, rehabilitation, and surgery of neurological disorders.Materials and Methods: In this review, 228 English and Persian articles indexed in the PubMed database between 2010 and 2023 were examined through the Google Scholar and ScienceDirect search engines using the keywords "Virtual Reality, Rehabilitation, Neurological Disorders, and Neurosurgery", and 30 articles in the Magiran database between 2017 and 2024 with the Persian equivalents of the keywords. In scoping studies, assessing the quality and risk of bias in articles is not mandatory; therefore, these evaluations were not performed in this study.Results: It appears that following the application of VR in disorders related to the central nervous system (CNS), a significant improvement has been observed in patients' cognitive-behavioral issues, such as attention, concentration, and stress. Based on the reviewed articles, this technology can be used to assess symptoms associated with the onset of neurological disorders. Additionally, it can be utilized in training residents both before and during surgical procedures.Conclusion: Given the diverse applications of this technology in rehabilitation, diagnosis, and pre- and intra-surgical training, it is recommended that systematic review studies be conducted specifically within each domain, namely assessment, diagnosis, surgical treatment, and rehabilitation of neurological problems. Furthermore, such studies should explore the integration of artificial intelligence (AI), and if possible, the most optimal clinical approach for each domain should be identified.