DIGITAL TRANSFORMATION OF NEUROSURGERY: AI, TELEMEDICINE AND VIRTUAL REALITY

Rafał Kobylański; Olha Levchenko; Katarzyna Nycz

doi:10.31435/ijitss.2(50).2026.5799

Authors

Rafał Kobylański Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland https://orcid.org/0009-0005-9221-1247
Olha Levchenko Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland https://orcid.org/0009-0006-8743-3598
Katarzyna Nycz Students’ Scientific Club, Department of Neurosurgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland https://orcid.org/0009-0001-0897-6855

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5799

Keywords:

Artificial Intelligence, Neurosurgery, Telemedicine, Virtual Reality, Machine Learning

Abstract

Neurosurgery is a specialty that requires extensive knowledge, as well as comprehensive training and technical skills. Recent advances in the development of artificial intelligence (AI) demonstrate significant potential for improving the quality of both interventional and non-interventional neurosurgical treatment. One of the advantages of integrating artificial intelligence into everyday clinical practice is the acceleration and increased efficiency of neurosurgeons’ work, allowing more patients to be treated within a shorter period of time. In the future, this may help healthcare systems provide more efficient patient care in modern clinical settings. At present, telemedicine can be predicted to become one of the key tools in neurosurgical practice, as it has the potential to help surgeons provide care to a greater number of patients, while augmented reality may support the extensive process of neurosurgical training. These technologies have demonstrated promising utility over recent decades and have the potential to transform aspects of neurosurgical practice in areas such as diagnosis, clinical decision-making, prognostic assessment, and data acquisition. It is important to note that, despite the advantages of artificial intelligence, several important limitations and challenges associated with its integration into routine medical practice remain. This review aims to summarize both the progress achieved in the application of these new digital technologies and the potential challenges and limitations associated with their use.

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