Primary Care

Exercise & Fitness

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

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Showing 757-777 of 7,437 articles
Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was...

Body Mass Index Variable Interpolation to Expand the Utility of Real-world Administrative Healthcare Claims Database Analyses.

INTRODUCTION: Administrative claims data provide an important source for real-world evidence (RWE) g...

Analysing the predictive capacity and dose-response of wellness in load monitoring.

This study aimed to identify the predictive capacity of wellness questionnaires on measures of train...

The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau.

Faced with the serious problem of an aging population, exercise is one of the most effective ways t...

Caffeine mouth rinse enhances performance, fatigue tolerance and reduces muscle activity during moderate-intensity cycling.

We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....

Label-free metabolic clustering through unsupervised pixel classification of multiparametric fluorescent images.

Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metaboli...

Validation of the Khorana Score for Prediction of Venous Thromboembolism After Robot-Assisted Radical Cystectomy.

The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture.

A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck i...

State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR).

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart...

Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.

Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk fac...

Data-Driven Robust Control for a Closed-Loop Artificial Pancreas.

We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of...

Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.

Using standard digital cameras in combination with deep learning (DL) for pose estimation is promisi...

An Accelerated Finite-Time Convergent Neural Network for Visual Servoing of a Flexible Surgical Endoscope With Physical and RCM Constraints.

This article designs and analyzes a recurrent neural network (RNN) for the visual servoing of a flex...

Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.

Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the eme...

Robotic versus open oncological gastric surgery in the elderly: a propensity score-matched analysis.

Although there is no agreement on a definition of elderly, commonly an age cutoff of ≥ 65 or 75 year...

Passive Exercise Adaptation for Ankle Rehabilitation Based on Learning Control Framework.

Ankle injuries are among the most common injuries in sport and daily life. However, for their recove...

Relationship between Firefighter Physical Fitness and Special Ability Performance: Predictive Research Based on Machine Learning Algorithms.

Firefighters require a high level of physical fitness to meet the demands of their job. The correlat...

Digital Twin Coaching for Physical Activities: A Survey.

Digital Twin technology has been rising in popularity thanks to the popularity of machine learning i...

Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.

This paper introduces a study on the classification of aortic stenosis (AS) based on cardio-mechanic...

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