An insight into artificial intelligence and its role in neurosurgery

Abstract

To acquire a wide range of technical skills, neurosurgeons undergo extensive and drawn-out training. Additionally, neurosurgery necessitates a significant amount of preoperative, intraoperative, and postoperative clinical data collection, decision-making, care, and recovery. The significance of artificial intelligence in neurosurgery has significantly increased during the past ten years. The potential of artificial intelligence to improve diagnostic and prognostic outcomes in neurosurgery is quite promising. It is important to clinical therapy because it helps neurosurgeons make crucial decisions during surgical interventions to improve patient outcomes and it enhances their abilities to give patients the finest interventional and non-interventional care possible. Furthermore, the acquisition, processing, and storage of clinical and experimental data are all greatly influenced by artificial intelligence. Its application in neurosurgery can lower surgical care expenses and offer top-notch medical treatment to a larger population. This article examines the use of artificial intelligence in preoperative, intraoperative, and postoperative care for both interventional and non-interventional aspects of neurosurgery, including diagnosis, clinical decision-making, surgical operation, prognosis, data collection, and research in the field.