ARTIFICIAL INTELLIGENCE APPLICATIONS AND ROBOTS IN NEUROSURGERY

Authors

  • Mirxaydarova Dilnora Djahongirovna, Normamatov Sardor Faxriddin o’g’li Tashkent State Medical University

Keywords:

Artificial Intelligence (AI); Neurosurgery; Machine Learning; Deep Learning; Medical Imaging; Surgical Planning; Robotic Surgery; Brain Tumors; MRI Analysis; Computer Vision; Stereotactic Surgery; Patient Safety; Minimally Invasive Surgery; Predictive Analytics; Healthcare Technology

Abstract

 Artificial Intelligence (AI) and robotic technologies are rapidly transforming the field of neurosurgery by enhancing diagnostic accuracy, surgical planning, and intraoperative precision. This paper explores the applications of AI in neurosurgery, including medical imaging analysis, early disease detection, and personalized treatment planning. It also examines the role of robotic systems such as the Da Vinci Surgical System, ROSA Brain Robot, and NeuroMate Robot in improving surgical outcomes through minimally invasive procedures and enhanced accuracy. Furthermore, the study discusses the benefits, challenges, and future developments of AI-driven technologies in neurosurgery. Despite certain limitations, including high costs and ethical concerns, AI and robotics are expected to play an increasingly important role in advancing neurosurgical practice and improving patient care.

References

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Published

2026-03-27

How to Cite

Mirxaydarova Dilnora Djahongirovna, Normamatov Sardor Faxriddin o’g’li. (2026). ARTIFICIAL INTELLIGENCE APPLICATIONS AND ROBOTS IN NEUROSURGERY. Ethiopian International Multidisciplinary Research Conferences, 2(2), 188–195. Retrieved from https://eijmr.org/conferences/index.php/eimrc/article/view/2055