Exercise & Fitness

Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology.

Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, offering both promising opportunities and notable risks. The infancy and rapid development of GenAI raises questions regarding its effective, safe, and ethical use by health professionals, including clinical exercise physiologists. This narrative review aims to explore existing interdisciplinary liter...

Skeletal Muscle Density as a Predictive Marker for Pathologic Complete Response in Triple-Negative Breast Cancer Treated with Neoadjuvant Chemoimmunotherapy.

: The predictive value of muscle-related indicators in triple-negative breast cancer (TNBC) patients undergoing neoadjuvant chemotherapy (NAC) remains unclear. This study aimed to evaluate the association between the skeletal muscle density (SMD) and clinical variables related to the physical reserve with respect to its impact on the pathologic complete response (pCR). : We retrospectively analyze...

Development of a Heart Rate Variability Based Ambulatory Stress Detection Model for Clinical Populations.

Biosensor-based, real-time stress detection has generated clinical interest for the purpose of driving just-in-time interventions that support recover...

IoT-enabled real-time health monitoring system for adolescent physical rehabilitation.

This study aims to develop an intelligent system leveraging Internet of Thing (IoT) technology to enhance the precision of youth physical training mon...

Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients.

INTRODUCTION: Global longitudinal strain (GLS) is an important prognostic indicator for predicting heart failure and cancer therapy-related cardiac dy...

An improved Red-billed blue magpie feature selection algorithm for medical data processing.

Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. In medical data analysis, th...

How does leadership AI awareness shape employee voice behavior? based on the framework of hindrance and challenge stressors.

BackgroundThe rapid advancement of Artificial Intelligence (AI) is driving transformative changes across various sectors, reshaping organizational man...

A Comprehensive Dataset for Activity of Daily Living (ADL) Research Compiled by Unifying and Processing Multiple Data Sources.

: Activities of Daily Living (ADLs) are essential tasks performed at home and used in healthcare to monitor sedentary behavior, track rehabilitation t...

Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.

Mounting experimental evidence suggests the hypothesis that brain-state-specific neural mechanisms, supported by the connectome shaped by evolution, c...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epigenetic, and environmental factors. ASD is character...

Age and sex-specific differences of the intrafemoral and intratibial morphology using the Citak classification in patients undergoing total knee arthroplasty.

PURPOSE: Unlike established knee phenotype classifications, the recently introduced Citak classifications describe the intrafemoral and intratibial kn...

The Forcing Factors of Physical Inactivity and Obesity in the United States - An Artificial Intelligence Analysis of an Ecological Framework.

BACKGROUND: A sedentary lifestyle, and obesity, are primary factors forcing the ongoing chronic disease health crisis in the United States. The aim of...

Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes: A Systematic Review.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (T2D) postpartum. Early identification of high-risk...

Self-determination theory informed research for promoting physical activity: Contributions, debates, and future directions.

In this review we evaluate the applications of self-determination theory (SDT) research to promote motivation for physical activity (PA) and exercise....

Unsupervised Clustering of Patients Undergoing Thoracoscopic Ablation Identifies Relevant Phenotypes for Advanced Atrial Fibrillation.

: The rate of recurrence after ablation for atrial fibrillation (AF) is considerable. Risk stratification for AF recurrence after ablation remains inc...

Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing.

Accurate preoperative risk assessment is of great value to both patients and clinical teams. Several risk scores have been developed but are often not...

Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

To develop and validate an explainable machine learning (ML) tool to help clinicians predict the risk of propofol-associated hypertriglyceridemia in c...

Multiple Mutations in the β1 Subunit of the Nicotinic Acetylcholine Receptor Confer Resistance to Neonicotinoids.

The evolution of resistance to neonicotinoid insecticides threatens global agriculture. To elucidate its molecular basis, we employed as a model syst...

Impact of body mass index on D-dimer diagnostic utility for deep vein thrombosis in patients with cancer: a single-center retrospective analysis.

BACKGROUND: Deep vein thrombosis (DVT) is a common complication in cancer patients associated with significant morbidity and mortality. D-dimer is a w...

Jumping on the moon as a potential exercise countermeasure.

The Moon's gravitational field strength (17% Earth's gravity) may facilitate the use of bodyweight jumping as an exercise countermeasure against muscu...