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Advance signal processing and machine learning approach for analysis and classification of knee osteoarthritis vibroarthrographic signals.
Medical engineering & physics
Mar 7, 2025
Osteoarthritis is a common cause of disability among elderly significantly affecting their quality of life due to pain and functional limitations. This study proposes a novel, non-invasive, and cost-effective diagnostic technique using vibroarthrogra...
Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches.
Redox biology
Mar 7, 2025
OBJECTIVES: To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of cardiovascular-kidney-metabolic syndrome (CKM).
Human Reviewers' Ability to Differentiate Human-Authored or Artificial Intelligence-Generated Medical Manuscripts: A Randomized Survey Study.
Mayo Clinic proceedings
Mar 7, 2025
OBJECTIVE: To assess the ability of humans to differentiate human-authored vs artificial intelligence (AI)-generated medical manuscripts.
Outcomes of lateral femoral cutaneous nerve decompression surgery in meralgia paraesthetica: assessment of pain, sensory deficits, and quality of life.
International orthopaedics
Mar 7, 2025
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LFCN), characterized by thigh pain, paraesthesia, or sensory loss. When conservative treatments fail, surgical interventions such as neurolysis or neure...
The Application of Machine Learning Models to Predict Stillbirths.
Medicina (Kaunas, Lithuania)
Mar 7, 2025
: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. : The study retrospectively included all ...
Advanced pathological subtype classification of thyroid cancer using efficientNetB0.
Diagnostic pathology
Mar 7, 2025
BACKGROUND: Thyroid cancer is a prevalent malignancy requiring accurate subtype identification for effective treatment planning and prognosis evaluation. Deep learning has emerged as a valuable tool for analyzing tumor microenvironment features and d...
Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure.
Critical care (London, England)
Mar 7, 2025
BACKGROUND: Early identification of patients with acute hypoxemic respiratory failure (AHRF) who are at risk of failing high-flow nasal cannula (HFNC) therapy could facilitate closer monitoring, and timely adjustment/escalation of treatment. We aimed...
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea.
BMC medical informatics and decision making
Mar 7, 2025
BACKGROUND: Retinal vein occlusion (RVO) is a leading cause of vision loss globally. Routine health check-up data-including demographic information, medical history, and laboratory test results-are commonly utilized in clinical settings for disease r...
Prediction of postpartum depression in women: development and validation of multiple machine learning models.
Journal of translational medicine
Mar 7, 2025
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several...
Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.
Journal of neuroengineering and rehabilitation
Mar 7, 2025
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke...
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