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Study Objectives: Physicians-in-training (residents, fellows) and Advanced Practice Providers (APPs) receive limited education on sleep disorders, including obstructive sleep apnea (OSA). They often assess patients first. We aimed to understand their views on OSA and screening for OSA in the perioperative period.

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Objectives: To assess the appropriateness and readability of large language model (LLM) chatbots' answers to frequently asked questions about refractive surgery.

Materials And Methods: Four commonly used LLM chatbots were asked 40 questions frequently asked by patients about refractive surgery. The appropriateness of the answers was evaluated by 2 experienced refractive surgeons.

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Binding, a critical cognitive process likely mediated by attention, is essential for creating coherent object representations within a scene. This process is vulnerable in individuals with dementia, who exhibit deficits in visual working memory (VWM) binding, primarily tested using abstract arrays of standalone objects. To explore how binding operates in more realistic settings across the lifespan, we examined the impact of object saliency and semantic consistency on VWM binding and the role of overt attention.

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Purpose: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and second line hypoglossal nerve stimulation (HGNS) therapy.

Methods: Seventeen questions, each regarding PAP and HGNS therapy, were posed to ChatGPT-4o.

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A descriptive study on patient satisfaction with waiting time in emergency departments: Insights from hospitals in the Northern Emirates.

Int Emerg Nurs

December 2024

Higher colleagues of technology Higher colleagues of Technology, Faculty of Health Science, Nursing Program, Fujairah, United Arab Emirates.

Background: Long waiting times in emergency departments (EDs) are a major challenge for healthcare systems worldwide. These extended delays can have a profound negative impact on patient quality of life, leading to increased stress, anxiety, and even deterioration in health conditions.

Purpose: identify factors that contribute to low satisfaction levels and long waiting times in EDs in the United Arab Emirates (UAE).

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