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Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.
Comput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFA preliminary study of microwave ablation (MWA) for Bethesda IV follicular neoplasms (≤3 cm).
Br J Radiol
January 2025
Department of Interventional Ultrasound Medicine, China-Japan Friendship Hospital, Beijing, China.
Objective: To evaluate the feasibility, safety, and efficacy of microwave ablation (MWA) for the treatment of patients with Bethesda IV follicular neoplasms (FNs) (≤3 cm).
Methods: In the retrospective study, patients who underwent MWA for Bethesda IV follicular neoplasms (≤3 cm) were included. Technical success, volume reduction, disease progression, and adverse event (AE) rates were analyzed postablation.
Evaluation of Patients' Satisfaction with Healthcare Services Provided at the National Health Insurance Authority Clinic of a Tertiary Hospital in South-West, Nigeria.
West Afr J Med
September 2024
Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Patient satisfaction is an essential indicator used for measuring the quality of health care delivered to a patient and contributes to strategies for the improvement of healthcare delivery. This study assessed patients' satisfaction with the quality of care at the National Health Insurance Authority (NHIA) clinic in a tertiary health facility.
Methods: The study was a descriptive cross-sectional design with 320 respondents who completed a semi-structured questionnaire.
Background: The burden of hospital-acquired infections (HAIs) equates to 3.5 million cases, resulting in more than 90 000 deaths and 2.5 million disability-adjusted life years (DALYs) across Europe.
View Article and Find Full Text PDFObjectives: To determine and compare the diagnostic accuracy of imaging tests for the prediction of RA progression in people with inflammatory joint pain or CSA.
Methods: We searched MEDLINE, Embase and Web of Science from 1987 to March 2024. Studies evaluating any imaging tests in participants with inflammatory joint pain or CSA, without clinical synovitis were eligible.
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