Exercise & Fitness

Multi-component exercise intervention methods for intelligent assisted diagnosis of sarcopenia in the elderly based on deep learning.

Population aging has made sarcopenia a major public health challenge in geriatric medicine. Current clinical diagnosis relies on large specialized equipment, resulting in low screening efficiency and limited capacity for early risk prediction. In addition, conventional intervention strategies follow standardized protocols and cannot accommodate individual differences in muscle function among older...

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students.

BACKGROUND: Academic success among nursing students is vital for developing the professional skills necessary to ensure the safety and quality of patient care. This study examines the relationship between learning approaches (Deep, Strategic, and Surface), achievement motivation, and academic performance among nursing students. METHODS: This study employed a sample of 770 participants, balanced by...

Thinking about the Impact of Artificial Intelligence on U.S. Health Care Costs and Spending Growth.

This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...

Prevalence of hypertension and diabetes in Bangladesh: identifying gaps in awareness and misinformation.

OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic cont...

Leveraging artificial intelligence for workload balancing in information technology departments: A qualitative interpretive study.

BackgroundUneven distribution of workload, unequal task sharing, and inefficient resource utilization in information technology (IT) departments can n...

Integrating skeleton based representations for robust yoga pose classification using deep learning models.

Yoga is a popular form of exercise worldwide due to its spiritual and physical health benefits, but incorrect postures can lead to injuries. Automated...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

Use of an AI Image Recognition-Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial.

BACKGROUND: Sufficient bowel preparation is critical for increasing the quality of colonoscopy. However, current bowel preparation guidelines have lim...

A High Granularity Machine Learning Model to Predict Successful Weaning During V-V ECMO.

PURPOSE: Weaning from venovenous extracorporeal membrane oxygenation (V-V ECMO) remains unstandardized due to limited literature, with delayed weaning...

Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.

BACKGROUND: Progressive pancreatic β-cell dysfunction constitutes a hallmark of type 2 diabetes (T2D), yet the molecular programmes governing metaboli...

Wearable fatigue detection system for wheelchair propulsion: Identifying key muscles via an attention-based LSTM Model.

Fatigue induces adverse short- and long-term health risks in wheelchair users. This study aimed to develop a machine learning approach to predict fati...

Integration of site-specific deep learning models for automated OAR segmentation in craniospinal proton therapy: a geometric and dosimetric analysis.

PURPOSE: This study evaluated the feasibility of integrating RayStation deep learning auto-segmentation (DLS) models-originally trained for adult head...

Impact of an artificial intelligence automated chatbot-driven educational-counselling intervention on childbearing attitudes and motivations among childless married women: study protocol for a parallel randomised controlled trial.

INTRODUCTION: Understanding population dynamics is essential for achieving the Sustainable Development Goals. Global population growth has slowed, and...

Understanding language model scaling for protein fitness prediction.

Protein language models, as well as models that incorporate structural information or homologous sequences, estimate the sequence likelihood p(sequenc...

Optimizing the mathematical model and technical standards for unilateral biportal endoscopic spinal surgery through machine learning-based video analysis.

OBJECTIVE: To enhance the efficacy of the unilateral biportal endoscopic spinal procedure, the spinal triangle concept is proposed, integrating a digi...

Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.

Text clustering is an essential activity in unsupervised natural language processing (NLP), and allows the automatic structure of large-scale textual ...

Reframing Response in Neoadjuvant Chemotherapy for Ovarian Cancer: Integrating Molecular and Functional Biomarkers.

BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithelial ovarian cancer, particularly for patients wit...

Prediction of Exercise Intolerance in the Recovery Period After Cardiovascular Surgery Using Perioperative Clinical Parameters.

OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity at 3 months postoperatively using clinical parame...

Integration of inflammatory and nutritional biomarkers with machine learning enhances prediction of progesterone response in fertility-preserving endometrial carcinoma management.

BACKGROUND: Endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) increasingly affect young women, posing challenges for fertility pre...

Unsupervised machine learning derived bone phenotypes exhibit differential biomarker responses following acute ballistic loaded exercise.

Resistance exercise can stimulate new bone formation and result in changes to circulating markers of bone metabolism, but the relationship between the...