World Neurosurg
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The field of neurosurgery has consistently represented an area of innovation and integration of technology since its inception. As such, machine learning (ML) has found its way into applications within neurosurgery relatively rapidly. Through this bibliometric review and cluster analysis, we seek to identify trends and emerging applications of ML within neurosurgery. ⋯ This review highlights the most impactful articles pertaining to ML in the field of neurosurgery. ML has been applied into several sub-specialties within neurosurgery to optimize patient care, with special attention to outcome predictors, patient selection, and surgical decision making.
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Surgeons sustain deviated postures during procedures even with the use of loupes or an operative microscope. The surgical exoscope is a new intraoperative visualization technology designed to improve surgical ergonomics; however, no objective data exist to say that surgeon posture is significantly improved. This study aimed to quantify the difference in posture during standard anterior cervical spine procedures performed with the aid of an operative microscope versus an exoscope. ⋯ Utilizing the exoscope for anterior cervical spine procedures allows surgeons to spend less time in a deviated posture.
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Randomized Controlled Trial
The Application of Ultrasound-CT Fusion Navigation Technology in Complex Bone Tumor Biopsy:*A Randomized Double-Blind Controlled Trial.
This study aims to investigate the clinical application value of ultrasonography-computed tomography (CT) fusion navigation technology in bone tumor biopsy surgery. ⋯ The real-time localization of the biopsy needle in bone tumor biopsy surgery using ultrasonography-CT fusion navigation technology can significantly reduce intraoperative radiation exposure for both patients and surgeons during the procedure. Consequently, this technique holds certain clinical applicability.