Potential Use of Quantum Imaging and Artificial Intelligence Technologies in Neurosurgery

Abstract

This study examines the current status and potential future areas of use of artificial intelligence and quantum technologies in neurosurgery within a conceptual framework. Artificial intelligence is widely used, especially in the analysis of imaging data, surgical planning and intraoperative decision support systems, and is rapidly being integrated into clinical practices. Quantum imaging technologies, on the other hand, attract attention with their capacity to provide higher resolution and lower radiation dose, but are currently limited to experimental and pilot studies. The study reveals that artificial intelligence and quantum technologies have complementary properties in neurosurgery; it shows that hybrid approaches such as quantum artificial intelligence can increase clinical success by increasing accuracy, speed and predictive capacity in diagnosis and treatment processes. In addition, it is emphasized that elements such as ethical responsibilities, user education and interdisciplinary collaboration are of critical importance in the clinical integration of these technologies. As a result, artificial intelligence and quantum technologies are seen as important tools that will shape the future surgical practices in neurosurgery.

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