World Neurosurg
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To investigate patient-reported outcomes following lumbar discectomy in patients with lateral lumbar disc herniation (LDH) compared with patients with paramedian LDH. ⋯ Patients with lateral and paramedian LDH reported similar postsurgical outcomes. Spine surgeons should be less hesitant to operate on patients with lateral LDH. Patients with extraforaminal LDH experienced the least relief of leg pain.
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Neuroendovascular treatment of cerebral aneurysms is considered a basic procedure for neurosurgeons and interventional neuroradiologists; however, its critical technical nuances, termed "tacit knowledge," are challenging to impart. This study aimed to evaluate the efficacy of our novel video recording and editing method in enhancing trainees' experience. ⋯ Our hybrid and wearable recording and editing methods facilitated the propagation of tacit knowledge of coil embolization and enhanced surgical education by enabling more efficient learning of technical tips.
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To investigate the performances of time-resolved angiography with stochastic trajectories (TWIST-MRA) and dual-source CT angiography (CTA), applied independently and in combination, for preoperative assessment of SVM. ⋯ Both TWIST-MRA and dual-source CTA are reliable for diagnosing SVM and localizing the feeding artery and fistula. While TWIST-MRA remains the primary technique for preoperative diagnosis of SVM, the addition of dual-source CTA can improve diagnostic confidence. CTA may be considered as an alternative to TWIST-MRA for SVMs in the cervical and lumbosacral regions.
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The neuroinflammatory response to aneurysmal subarachnoid hemorrhage (SAH) might have a crucial impact on the burden of disease. We aimed to analyze the behavior of interleukin-6 (IL-6) in cerebrospinal fluid (CSF) during SAH and its relation to complications and outcomes. ⋯ Our data confirm the substantial impact of neuroinflammation on SAH. CSF IL-6 values measured during the first week after SAH occurrence present the most valuable outcome predictors.
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Evaluating ChatGPT o1's Capabilities in Peripheral Nerve Surgery: Advancing AI in Clinical Practice.
Artificial intelligence (AI) continues to advance in healthcare, offering innovative approaches to enhance clinical decision-making and patient management. Peripheral nerve surgery poses unique challenges due to the complexity of cases and the need for precise diagnostic and therapeutic strategies. This study investigates the application of OpenAI's generative AI model, o1, in assisting with intricate decision-making processes in peripheral nerve surgery. ⋯ As the performance of LLM (Large Language Model) AI continues to improve, it is becoming increasingly important that absolute experts assess the accuracy of the answers to ensure reliable and clinically sound integration into healthcare practices. This study underscores the potential of LLM AI in augmenting clinical decision-making in highly specialized fields like peripheral nerve surgery while demonstrating the ongoing importance of human expertise. Future research should explore ways to further refine AI capabilities and assess its integration into routine surgical workflows.