Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Navigating the design of simulated exercising peers: insights from a participatory design study.

BACKGROUND: To fight sedentary lifestyles, researchers have introduced various technological interve...

Enhancing table tennis performance and physical fitness through digital technology: a quasi-experimental study based on the TPACK framework.

Educational digitization has made integrating digital technology into physical education a pivotal s...

Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method.

The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are c...

Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.

The general aggression model (GAM) suggests that cyber-aggression stems from individual characterist...

MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis.

OBJECTIVES: This article describes the design and evaluation of MS Pattern Explorer, a novel visual ...

Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity.

OBJECTIVE: Conventional physical activity (PA) metrics derived from wearable sensors may not capture...

Diagnostic Accuracy of AI Algorithms in Aortic Stenosis Screening: A Systematic Review and Meta-Analysis.

Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. ...

Machine Learning-Driven Phenogrouping and Cardiorespiratory Fitness Response in Metastatic Breast Cancer.

PURPOSE: The magnitude of cardiorespiratory fitness (CRF) impairment during anticancer treatment and...

Effect of Upper Limb Repetitive Facilitative Exercise on Gait of Stroke Patients based on Artificial Intelligence and Computer Vision Evaluation.

OBJECTIVE: This study aims to assess how enhancing upper limb function on the affected side of strok...

Dynamic Inverse Reinforcement Learning for Feedback-driven Reward Estimation in Brain Machine Interface Tasks.

Reinforcement learning (RL)-based brain machine interfaces (BMIs) provide a promising solution for p...

The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.

Cardiovascular disease (CVD) is the leading cause of global mortality, diagnosed primarily through c...

Noninvasive detection of diabetes in obstructive sleep apnea based on overnight SpO signal and deep learning.

The prevalence of obstructive sleep apnea comorbid with diabetes is high while the awareness of diab...

Generative Neural Framework for Micro-Vessels Classification.

The morphological abnormalities in the retinal blood vessel have a close association with cerebrovas...

Understanding and predicting pregnancy termination in Bangladesh: A comprehensive analysis using a hybrid machine learning approach.

Reproductive health issues, including unsafe pregnancy termination, remain a significant concern for...

OLB-AC: toward optimizing ligand bioactivities through deep graph learning and activity cliffs.

MOTIVATION: Deep graph learning (DGL) has been widely employed in the realm of ligand-based virtual ...

Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy.

Evolution-based neural architecture search methods have shown promising results, but they require hi...

Genotype sampling for deep-learning assisted experimental mapping of a combinatorially complete fitness landscape.

MOTIVATION: Experimental characterization of fitness landscapes, which map genotypes onto fitness, i...

Patient-Reported Outcomes for Robot-Assisted Laparoscopic Extravascular Renal Vein Stent Placements for Nutcracker Syndrome.

Nutcracker phenomenon is the compression of the left renal vein between the superior mesenteric art...

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