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http://dx.doi.org/10.1038/s41588-020-0627-0 | DOI Listing |
Dig Liver Dis
March 2025
Department of Clinical Medicine and Surgery, 'Federico II' University of Naples, Via Pansini 5, 80131, Naples, Italy. Electronic address:
Mov Disord Clin Pract
March 2025
Innovative Therapies in Pediatric Neurology Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Background: Myoclonus-dystonia syndrome (MDS) is a genetic movement disorder with childhood-onset, most frequently caused by SGCE defects.
Objective: To evaluate the diagnostic and treatment strategies in MDS used by experts from the European Reference Network for rare neurological diseases (ERN-RND), and to assess the diagnosis and management experience in patients with MDS.
Methods: Two different questionnaires were distributed: one among neurologists from ERN-RND, and another among patients and families with SGCE-related MDS.
Healthcare (Basel)
March 2025
School of Information Studies, McGill University, Montreal, QC H3A 1X1, Canada.
: Online medical consultation (OMC) platforms have become an essential tool for facilitating communication between doctors and patients, providing an efficient way for patients to access healthcare services. However, research on the key drivers of patient satisfaction within this context remains limited. This study aims to identify and prioritize the key factors influencing patient satisfaction on OMC platforms, with a focus on the Chinese "Chunyu Doctor" app as a case study.
View Article and Find Full Text PDFFam Pract
February 2025
Department of Palliative and Supportive Care, Institute of Medicine, University of Tsukuba, 2-1-1 Amakubo, Tsukuba, Ibaraki 305-8576, Japan.
Purpose: Japan has insufficient palliative care specialists, so there are calls for a palliative care consultation system to aid primary care physicians. Community-based palliative care may require clarification on the division of tasks and responsibilities. Primary care physicians' needs specific to palliative care are also ambiguous.
View Article and Find Full Text PDFIntroduction: Generative artificial intelligence (AI) technologies like GPT-4 can instantaneously provide health information to patients; however, the readability of these outputs compared to ophthalmologist-written responses is unknown. This study aims to evaluate the readability of GPT-4-generated and ophthalmologist-written responses to patient queries about ophthalmic surgery.
Methods: This retrospective cross-sectional study used 200 randomly selected patient questions about ophthalmic surgery extracted from the American Academy of Ophthalmology's EyeSmart platform.
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