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Essential Tremor Suppression with a Novel Anti-Tremor Orthosis: A Randomized Crossover Trial.
Mov Disord
January 2025
Department of Neurology, Reinier de Graaf Hospital, Delft, The Netherlands.
Background: Essential tremor (ET) is characterized by action tremor of the arms, which can interfere substantially with daily activities. Pharmacotherapy may be ineffective or associated with side effects, and stereotactic surgery is invasive. Hence, new accessible treatment options are urgently needed.
View Article and Find Full Text PDFOrganisational quality and hospital pharmacists' roles of outpatient parenteral antimicrobial therapy (OPAT) in Belgian hospitals: a national survey.
Acta Clin Belg
January 2025
Hospital Outbreak Support Team (HOST), H.uni Network, Brussels, Belgium.
Objectives: Implementation of outpatient parenteral antimicrobial therapy (OPAT), also known as intravenous (IV) antimicrobial treatment at home, has increased in recent years. Ensuring OPAT quality is crucial to achieve positive patient outcomes. However, data on the Belgian quality of OPAT organisation is lacking.
View Article and Find Full Text PDFSystematic review of outcome measures used in support programs designed to enhance the functioning for autistic children and adolescents and ICF content mapping.
Disabil Rehabil
January 2025
Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), São Paulo, SP, Brazil.
Purpose: 1) To identify outcome measures used in support programs designed to enhance functioning in autistic children and adolescents, and 2) To map the content of these measures to the domains of the International Classification of Functioning, Disability and Health (ICF).
Methods: A systematic review was conducted. Searches were performed in Medline/PubMed, EMBASE and Virtual Health Library databases, with no restrictions imposed regarding language or year of publication.
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection.
BMC Med Inform Decis Mak
January 2025
The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Background: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analysis of electroencephalogram (EEG) signals have garnered widespread attention, particularly in the area of seizure recognition.
Methods: A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study.
Prediction of prognosis in patients with cerebral contusions based on machine learning.
Sci Rep
December 2024
Department of Neurosurgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu city, 241000, Anhui Province, China.
Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral contusions (CCs) is a common primary TBI. The haemorrhagic progression of a contusion (HPC) poses a significant risk to patients' lives, and effectively predicting changes in haematoma volume is an urgent clinical challenge that needs to be addressed. As a branch of artificial intelligence, machine learning (ML) can proficiently handle a wide range of complex data and identify connections between data for tasks such as prediction and decision making.
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