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        west china medical publishers
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        find Author "鄢波" 18 results
        • 神經系統慢性疾病的綜合管理

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        • 神經系統相關慢病的臨床研究

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        • 神經系統罕見疾病的臨床研究

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        • 抗 N-甲基-D-天冬氨酸受體腦炎癲癇的預后研究

          Release date:2018-03-20 04:09 Export PDF Favorites Scan
        • 腦血管病的臨床研究

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        • 神經系統疾病的醫療質量管理

          Release date:2017-05-18 01:09 Export PDF Favorites Scan
        • Application of International League Against Epilepsy’ s New Consensus Definition of Drug-resistant Epilepsy in Developing Regions

          目的 評估國際抗癲癇聯盟(ILAE)耐藥癲癇定義專家共識在發展中國家、發展中地區應用的可行性及應用中存在的問題。 方法 2010年12月9日-2011年2月18日,連續登記癲癇專科門診患者409例。共納入183例患者,根據ILAE耐藥癲癇新定義對每位納入患者癲癇分類進行評估。 結果 耐藥癲癇患者18例(8.7%),臨床治愈患者29例(14.1%),不能判斷為159例(77.2%)。入組患者共涉及癲癇藥物治療方案321項。根據ILAE定義步驟一分類為不確定的治療方案共有199項(62.00%),其中數量最多的為服藥劑量<50% WHO限定日劑量有157例(78.89%)。 結論 由于治療劑量未能夠達到國際統一標準,大量患者分類不明確,使得該共識應用面臨巨大挑戰,但目前為止該共識對于發展中地區耐藥癲癇治療有很強的指導促進意義,對未來耐藥癲癇的早期識別有非常大的應用潛力。

          Release date:2021-06-23 07:35 Export PDF Favorites Scan
        • 基于雨課堂的翻轉課堂模式在長程腦電圖教學實踐中的探索

          長程腦電圖(Long-term electroencephalogram,LT-EEG)教學是神經專科教學的重要組成部分,其專業性強,理論抽象,圖形復雜,學生學習難度大,傳統的教學模式難以理解和掌握。翻轉課堂作為一種新型的教學模式,能夠有效提高學生的學習主動性和參與度。雨課堂作為一款智慧教學平臺已被各大高校應用于多種教學領域。本文探討了基于雨課堂平臺的翻轉課堂模式在 LT-EEG教學的應用實踐。通過詳細描述教學設計、實施過程及效果評估,本文旨在探索如何利用雨課堂平臺以及優化長程腦電圖的教學效果,提升學生的學習效果和實踐能力,激發學員學習興趣,提高腦電圖教學質量,促進學科的應用和發展,為神經專科和相關專業培養合格醫療人才奠定堅實的基礎。

          Release date:2024-08-23 04:11 Export PDF Favorites Scan
        • The investigation of diagnosis and treatment for status epilepticus in some hospitals of China

          Objective To investigate the diagnosis and treatment of status epilepticus in hospitals of different levels and the knowledge of status epilepticus in clinical physicians, in order to better guide clinical education in the future. Methods From August 2014 to August 2015, a questionnaire was designed and used to investigate the general situation of the hospital, the diagnosis of status epilepticus and the clinical practice among trainee doctors and students in the epilepsy training class in the Neurological Intensive Care Unit and the Department of Neurology of West China Hospital, Sichuan University. The results of the investigation were statistically analyzed. Results Ninety questionnaires were distributed, and all the questionnaires were retrieved with validity. The number of investigated physicians was 42 (46.7%) from the Department of Neurology, 6 (6.7%) from the Department of Neurosurgery, 30 (33.3%) from the Intensive Care Unit and 12 (13.3%) from other departments. Twenty-seven (30.0%) physicians were from class Ⅲ grade A hospitals, 31 (34.4%) from class Ⅲ grade B hospitals, and 32 (35.6%) from class Ⅱ grade A hospitals. All the class Ⅲ hospitals and 53.1% of class Ⅱ hospitals had electroencephalograph monitoring facilities. The proportion of status epilepticus patients ranged from 0.5% to 10.0% in different hospitals. There were great differences in the identification and treatment of convulsive status epilepticus among different hospitals. Conclusions Status epilepticus is a common emergency. Questionnaire survey is an effective means to reflect the difference in identifying and treating the emergency among different departments and hospitals. It can guide clinical education and promote the identification and treatment of the emergency more accurately in doctors of all levels.

          Release date:2017-05-18 01:09 Export PDF Favorites Scan
        • 基于AI實時翻譯技術的融合課堂在癲癇臨床教學實踐中的應用

          目前,全英文授課臨床醫學專業(Bachelor of medicine & bachelor of surgery,MBBS)留學生的招生規模日益增加,對其在華臨床教學實踐提出了新的要求。癲癇作為神經病學教學的重點內容,其規范性診治對采集病史的準確性具有極強的依賴性,極需對MBBS在癲癇的臨床教學實踐進行進一步優化。本研究創新性地結合人工智能(Artificial Intelligence,AI)實時翻譯技術及融合課堂,將MBBS留學生與中國醫學生同步授課,納入單中心三甲醫院神經內科臨床實習的中國醫學生及MBBS留學生67名進行問卷調查,橫斷面地評估融合課堂的必要性、融合課堂應該占有實習課堂教學總時長的比例、AI實時翻譯設備在實踐課堂應用的必要性、學生對AI實時翻譯設備期待。經IBM SPSS 26 軟件包統計,MBBS留學生及中國醫學生觀點基本一致,無統計學差異(P>0.05)。約49.3%~61.2%的學生認可留學生在癲癇臨床教學實踐中參加融合課堂的必要性,47.8%~59.7%的學生認可中國醫學生在癲癇臨床教學實踐中參加融合課堂的必要性,76.1%的學生認可在癲癇臨床教學實踐的融合課堂上使用翻譯設備的必要性,65.7%的學生對在癲癇臨床教學實踐的融合課堂上使用翻譯設備抱有期待。這提示我們在新時代5G網絡飛速發展的背景下,基于AI實時翻譯技術的融合課堂可能在癲癇臨床教學實踐中具有重大的應用潛力,并可推廣至其它神經病學及醫學學科的臨床教學實踐當中。

          Release date:2023-10-25 09:09 Export PDF Favorites Scan
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