Study Design: Retrospective cohort.
Objective: To analyze the annual trends in the most prevalent topics, journals, and geographic regions of the top 100 spine surgery articles, as determined by altmetric attention scores (AASs). We also describe the relationship between AAS and traditional article metrics.
Introduction: Multimodal large language models (MLLMs), such as OpenAI's ChatGPT (San Francisco, CA), have the potential to improve medical care delivery and education, although important shortcomings in accuracy and image interpretation have been noted. The aim of this study was to assess the multimodal performance of a ChatGPT model customized with hand surgery-specific knowledge.
Methods: A customized generative pre-trained transformer (GPT) was trained using peer-reviewed literature recommended by the American Society for Surgery of the Hand (ASSH).
Non-traumatic bilateral acute subdural hematomas are a rare occurrence. Etiologies typically include, but are not limited to, cortical artery bleeding, vascular lesions, coagulopathies, and spontaneous intracranial hypotension. We report a case of a 45-year-old Korean male with no known co-morbid illnesses nor history of head or neck trauma, who came to the emergency department due to a 10-day history of dizziness and head heaviness, followed by disorientation and drowsiness.
View Article and Find Full Text PDFStudy Design: Retrospective Cohort.
Objective: (1) To determine if vertebral HU values obtained from preoperative CT predict postoperative outcomes following 1-3 level lumbar fusion and (2) to investigate whether decreased BMD values determined by HU predict cage subsidence and screw loosening.
Summary Of Background Data: In light of suboptimal screening for osteoporosis, vertebral computerized tomography(CT) Hounsfield Units(HU), have been investigated as a surrogate for bone mineral density(BMD).