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Pan-neurofascin autoimmune nodoparanodopathy: A case report and literature review.

Medicine (Baltimore)

January 2025

Department of Neurology (Nerve-Muscle Unit), Reference Center for Neuromuscular Diseases "AOC," ALS Reference Center, University Hospitals of Bordeaux (Pellegrin Hospital), University of Bordeaux, Bordeaux, France.

Rationale: Locked-in syndrome (and its variant, completely locked-in state) generally has a high mortality rate in the acute setting; however, when induced by conditions such as acute inflammatory polyradiculoneuropathy, it may well be curable such that an attempt at cure should be systematically sought by clinicians.

Patient Concerns: A 52-year-old man presented with acute tetraparesia and areflexia, initially diagnosed as Guillain-Barré syndrome. Despite appropriate treatment, his condition deteriorated, evolving into a completely locked-in state.

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Background: To date, no studies have evaluated the longevity of calcaneal lengthening osteotomy (CLO) in patients with cerebral palsy (CP) and pes planovalgus. This study aimed to explore the changes in foot alignment following CLO in patients with CP, utilizing both radiographic evaluations and dynamic foot-pressure assessments.

Methods: A retrospective study of 282 feet in 180 ambulatory patients was performed.

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Introduction: A leadless pacemaker (LLPM) was recommended for a patient with intermittent complete heart block and near-syncope.

Methods And Results: Delivery of LLPM is through a large sheath that has limited deflection and steerability. This report describes the successful deployment of a ventricular LLPM in a patient with prior surgical correction of AV septal defect with subsequent significant right atrial enlargement.

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This study aims to analyze the accuracy of human reviewers in identifying scientific abstracts generated by ChatGPT compared to the original abstracts. Participants completed an online survey presenting two research abstracts: one generated by ChatGPT and one original abstract. They had to identify which abstract was generated by AI and provide feedback on their preference and perceptions of AI technology in academic writing.

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Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.

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