Primary Care

Exercise & Fitness

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

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Short-Term Intermittent Normobaric Hypoxia Combined with Light Exercise Improves Acclimatization of Cardiorespiratory Function in Inactive Adults.

BACKGROUND: Un-acclimatized individuals may experience acute altitude illness. Thus, the current stu...

AI performance assessment in blended learning: mechanisms and effects on students' continuous learning motivation.

INTRODUCTION: Blended learning combines the strengths of online and offline teaching and has become ...

XGBoost-based nomogram for predicting lymph node metastasis in endometrial carcinoma.

This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in ...

How to enhance employee engagement in the AI era: An fsQCA-based study.

BackgroundThe ongoing fourth industrial revolution, characterized by the integration of intelligent ...

Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.

The ACS risk calculator (ARC) has proven less effective in predicting patient-specific risk of early...

Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to re...

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic chi...

Explainable exercise recommendation with knowledge graph.

Recommending suitable exercises and providing the reasons for these recommendations is a highly valu...

DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network.

The Otago Exercise Program (OEP) represents a crucial rehabilitation initiative tailored for older a...

Can people with epilepsy trust AI chatbots for information on physical exercise?

PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scienti...

Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective.

Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...

Teaching design students machine learning to enhance motivation for learning computational thinking skills.

The integration of computational thinking (CT) to enhance creativity in design students has often be...

Physiological and Psychological Differences Between 20% Grade Incline Walking and Level-Grade Jogging at Isocaloric Intensity.

High-incline walking is a relatively new trend with little comparative information. This study compa...

The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.

This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...

Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring.

Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screen...

Motivation and socialization during summer predict medical students' success: An artificial intelligence study.

PURPOSE: The latest reform of French medical studies has moved the National Ranking Examination befo...

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Non-specific shoulder pain is a common musculoskeletal condition, especially among college students,...

Predicting frailty in older patients with chronic pain using explainable machine learning: A cross-sectional study.

Frailty is common among older adults with chronic pain, and early identification is crucial in preve...

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