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Exercise & Fitness

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

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Beyond authorship: Analyzing contributions in PLOS ONE and the challenges of appropriate attribution

This study aims to evaluate the accuracy of authorship attributions in scientific publications, focusing on the fairness and precision of individual contributions within academic works. The study analyzes 81,823 publications from the journal PLOS ONE, covering the period from January 2018 to June 2023. It examines the authorship attributions within these publications to try and determine the pre...

On the Dynamics of Mating Preferences in Genetic Programming

Several mating restriction techniques have been implemented in Evolutionary Algorithms to promote diversity. From similarity-based selection to niche preservation, the general goal is to avoid premature convergence by not having fitness pressure as the single evolutionary force. In a way, such methods can resemble the mechanisms involved in Sexual Selection, although generally assuming a simplif...

Predicting Body Fat Percentage from Simple Anthropometric Measurements: A Machine Learning Approach.

Accurately assessing body fat percentage (BF%) is crucial for healthcare and fitness but is hindered by gold-standard methods that are costly and inva...

Apr 8 2025 40200459
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models

This study investigates the application of novel model architectures and large-scale foundational models in temporal series analysis of lower limb r...

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward

Effective conversational agents must be able to personalize their behavior to suit a user's preferences, personality, and attributes, whether they a...

Design of AI-Powered Tool for Self-Regulation Support in Programming Education

Large Language Model (LLM) tools have demonstrated their potential to deliver high-quality assistance by providing instant, personalized feedback th...

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both con...

Revolutionizing Medical Data Transmission with IoMT: A Comprehensive Survey of Wireless Communication Solutions and Future Directions

Traditional hospital-based medical examination methods face unprecedented challenges due to the aging global population. The Internet of Medical Thi...

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

Pretraining a Multiple Instance Learning (MIL) aggregator enables the derivation of Whole Slide Image (WSI)-level embeddings from patch-level repres...

Applications, challenges and future directions of artificial intelligence in cardio-oncology.

BACKGROUND: The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth o...

Apr 1 2025 40191923
Exploring the Impact of PA and Sedentary Behavior on Gout Risk in Hyperuricemia: Insights From Machine Learning and SHAP Analysis.

BACKGROUND: Individuals with hyperuricemia (HUA) are widely recognized as being at increased risk for gout. This study aimed to investigate how physic...

Apr 1 2025 40269465
HearFit+: Personalized Fitness Monitoring via Audio Signals on Smart Speakers

Fitness can help to strengthen muscles, increase resistance to diseases, and improve body shape. Nowadays, a great number of people choose to exerci...

Skeleton-Based Transformer for Classification of Errors and Better Feedback in Low Back Pain Physical Rehabilitation Exercises

Physical rehabilitation exercises suggested by healthcare professionals can help recovery from various musculoskeletal disorders and prevent re-inju...

CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data

The early detection and prediction of cardiovascular diseases are crucial for reducing the severe morbidity and mortality associated with these cond...

Geometry adaptive waveformer for cardio-vascular modeling

Modeling cardiovascular anatomies poses a significant challenge due to their complex, irregular structures and inherent pathological conditions. Num...

Application of Single-cell Deep Learning in Elucidating the Mapping Relationship Between Visceral and Body Surface Inflammatory Patterns

As a system of integrated homeostasis, life is susceptible to disruptions by visceral inflammation, which can disturb internal environment equilibri...

Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content Generation

Dialogic learning fosters motivation and deeper understanding in education through purposeful and structured dialogues. Foundational models offer a ...

Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis

Cancer cachexia is a common metabolic disorder characterized by severe muscle atrophy which is associated with poor prognosis and quality of life. M...

Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables includin...

ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing

Effective training and debriefing are critical in high-stakes, mission-critical environments such as disaster response, military simulations, and in...

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