Neurosurgery
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Physician rating websites (PRWs) are increasingly used by patients to find health care providers. This study explores spine neurosurgeon PRW ratings and their relationship with academic productivity. ⋯ Overall, spine neurosurgeon ratings on PRWs were favorable. Ratings were found to decrease with increasing surgeon age, and academic productivity was not correlated with better ratings.
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Currently, the management for pituitary apoplexy (PA) has been promoted toward a more conservative approach, particularly for patients with low-grade PA scores. Our aim was to investigate trends in PA management and compare clinical presentation, therapeutic approaches, and outcomes before and after 2017, additionally to evaluate long-term outcomes in conservatively treated patients. ⋯ Although conservative management increased in the last years, surgery remains the predominant option. Patients managed conservatively experience a lower risk of permanent arginine vasopressin deficiency, and a high proportion exhibit clinically significant tumor shrinkage over time.
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Recent studies have proposed computed tomography (CT) criteria for posterior ligamentous complex (PLC) injury: disrupted if ≥2 CT findings, indeterminate if single finding, and intact if 0 CT findings. The study aims to validate the CT criteria for PLC injury externally. ⋯ This study externally validates the previously proposed CT criteria for PLC injury. A total of ≥2 positive CT findings or 0 CT findings can be used as criteria for a disrupted PLC (B-type injury) or intact PLC (A-type injuries), respectively, without added MRI. A single CT finding implies indeterminate PLC status and the need for further MRI assessment. The CT criteria will potentially guide MRI indications and treatment decisions for neurologically intact thoracolumbar burst fractures.
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Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models. This study attempts to introduce a domain-specific multimodal model, Congress of Neurological Surgeons (CNS)-Contrastive Language-Image Pretraining (CLIP), developed for neurosurgical applications, leveraging data exclusively from Neurosurgery Publications. ⋯ This study presents a pioneering effort in building a domain-specific multimodal model using data from a medical society publication. The results indicate that domain-specific models, while less globally versatile, can offer advantages in specialized contexts. This emphasizes the importance of using tailored data and domain-focused development in training foundation models in neurosurgery and general medicine.