• Muzamil Akhtar, Hanzala Ahmed Farooqi, and Rayyan Nabi.
• Gujranwala Medical College, Gujranwala, Pakistan.
• World Neurosurg. 2024 Nov 1; 191: 349350349-350.

AbstractArtificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential diagnosis, preoperative evaluation, and surgical precision. A recent study in World Neurosurgery evaluated AI's role in aneurysm detection, comparing conventional computed tomography angiography images with AI analysis. AI identified 33 potential aneurysms, with 16 confirmed by radiologists, demonstrating a sensitivity of 36%, specificity of 97.6%, and a negative predictive value of 96.2%. Although AI shows promise, it is recommended as a complementary tool rather than a replacement for standard care. Further studies highlight AI's role in detecting and managing intracranial aneurysms, preventing severe complications like subarachnoid hemorrhage. AI improves medical image analysis, reducing missed detections and false positives. A review of 47 AI-based studies noted that these algorithms enhance diagnostic accuracy and aid in precise aneurysm identification. Another study showed AI's superior precision in measuring intracranial aneurysm size compared to junior raters. A systematic review of studies from 2015 to 2023 confirmed AI's efficacy in detecting cerebral aneurysms, with high sensitivity for larger aneurysms. However, sensitivity for smaller aneurysms remained lower, indicating the need for further research. In conclusion, AI integration in aneurysm detection and management enhances diagnostic accuracy and precision. While current AI technologies show significant strengths, ongoing research is essential to address limitations and fully realize AI's potential in neurosurgery.Copyright © 2024 Elsevier Inc. All rights reserved.

10 keywords...

hide…