Muhammad Mohsin khan and Muhammad Mohsin Arshad
Artificial Intelligence (AI) has been making significant strides in various fields, and neurosurgery is no exception¹². This literature review aims to explore the role of AI in vascular neurosurgery, focusing on its potential to enhance diagnos- tic and prognostic outcomes, aid in clinical decision-making, and improve patient outcomes [01]. Neurosurgery, a highly complex and cutting-edge clinical subspecialty, has been in- creasingly intertwined with AI, particularly in the realm of
vascular neurosurgery [02]. The integration of AI and big data into everyday life has facilitated the clinical workflow of diagnosis, surgical treatments, prognostic predictions, and even technical training and medical education [02]. AI can complement the skills of neurosurgeons by providing the best possible interventional and noninterventional care for patients [01]. It can enhance diagnostic and prognostic out- comes in clinical treatment and assist neurosurgeons with
decision-making during surgical interventions [01]. This symbiotic relationship between AI and neurosurgery can push the boundaries of neurosurgery and help AI develop better and more robust algorithms [01].