World Neurosurg
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Deep learning enables precise hand tracking without the need for physical sensors, allowing for unsupervised quantitative evaluation of surgical motion and tasks. We quantitatively assessed the hand motions of experienced cerebrovascular neurosurgeons during simulated microvascular anastomosis using deep learning. We explored the extent to which surgical motion data differed among experts. ⋯ Hand tracking data showed similarities among experts, with low movements from baseline, minimal excess motion, and rhythmic suturing patterns. The data revealed unique patterns related to each expert's habits and techniques. The results showed that surgical motion can be correlated with hand motion and assessed using mathematical algorithms. We also demonstrated the feasibility and potential of deep learning-based motion detection to enhance surgical training.
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Proper documentation is essential for patient care. The popularity of artificial intelligence (AI) offers the potential for improvements in neurosurgical note-writing. This study aimed to assess how AI can optimize documentation in neurosurgical procedures. ⋯ AI notes were on par with surgeon notes in terms of accuracy and organization but lacked in content. Additionally, AI notes used language at an advanced reading level. These findings support the potential for ChatGPT to enhance the efficiency of neurosurgery documentation.
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ChatGPT is a natural language processing chatbot with a significant prevalence in modern media with a clear application in the medical triage workflow. ChatGPT has shown significant capacity for understanding clinical vignettes, radiology reports, and even passing the American Board of Neurological Surgery board examination. There has never been an evaluation of the chatbot in triage and diagnosing spinal vignettes common to primary and urgent care practice. ⋯ ChatGPT is a powerful tool for primary triage of spinal issues. It can rapidly and accurately evaluate clinical scenarios and provide clear diagnostic reasoning. GPT-4 is not designed for medical use and will provide a disclaimer as such. It did tend toward over-referring patients to the ER. With specific training, it is likely that artificial intelligence and natural language processing chatbots will become widely used in primary triage of spinal issues.
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Hydrocephalus ranks among the most prevalent neurosurgical conditions worldwide, with a growing body of literature suggesting a potential association with inflammation. Employing bibliometric methods, this research visually analyzes the scholarly output on inflammation in hydrocephalus over the past 2 decades and provides a scientific framework for delineating research pathways and addressing key issues in this field. ⋯ This study will help researchers determine the mainstream research directions and latest hotspots of inflammation in hydrocephalus and provide a reference for revealing the molecular mechanism of hydrocephalus.
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Flow diverters (FDs) carry the risk of thromboembolic complications associated with the device and bleeding complications associated with dual antiplatelet therapy. We hypothesize that an antithrombotic surface-coated FD (ASCFD) would have less acute thrombus formation and better endothelialization on the device surface compared with uncoated FD. ⋯ In the rabbit model, the ASCFD is associated with less thrombus formation at the acute stage, less inflammation, less vessel injury, and better endothelialization on the device surface compared with the PFD.