Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that peopl...
MOTIVATION: Predicting protein-ligand binding affinity accurately and quickly is a major challenge in drug discovery. Recent advancements suggest that deep learning-based computational methods can effectively quantify binding affinity, making them a promising alternative. Environmental factors significantly influence the interactions between protein pockets and ligands, affecting the binding stren...
Assessments of trustworthiness have become a cornerstone of responsible AI development. Especially in high-stakes fields like healthcare, aligning t...
Artificial intelligence (AI) has rapidly emerged as a transformative force in musculoskeletal imaging and interventional radiology. This article explo...
BACKGROUND: Artificial intelligence (AI) is a revolutionary tool yet to be fully integrated into several health care sectors, including medical imagin...
Rehabilitation robots are often used in game-like interactions for rehabilitation to increase a person's motivation to complete rehabilitation exerc...
We explore the potential of ChatGPT (3.5-turbo and 4) to generate conversations focused on self-care strategies for African-American heart failure p...
Introduction: Data from wearable devices collected in free-living settings, and labelled with physical activity behaviours compatible with health re...
Two recent papers offer contrasting perspectives on integrating Quantitative Systems Pharmacology (QSP) and Artificial Intelligence/Machine Learning (...
The global increase in the number of older people aged 65 and over is causing concern in healthcare and social systems. The lack of health and welfare...
In natural and artificial neural networks, modularity and distributed structure afford complementary but competing benefits. The former allows for hie...
Exposure to charcoal biomass (CB) pollutants affects the cardiorespiratory system. We assessed cardiopulmonary responses (CPR) to exercise in charcoal...
BACKGROUND: As body mass index (BMI) increases, the quality of 2-deoxy-2-[fluorine-18]fluoro-D-glucose (F-FDG) positron emission tomography (PET) imag...
Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in tissues. Current methods for measuring insulin re...
Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health m...
Neural Architecture Search (NAS) has gained widespread attention for its transformative potential in deep learning model design. However, the vast a...
Including children's images in datasets has raised ethical concerns, particularly regarding privacy, consent, data protection, and accountability. T...
We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle of diabetic patients. This algorithm is integrate...
Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third most prevalent malignant tumour worldwide. Early de...
As an epistemic activity, rational debate and discussion requires cooperation, yet involves a tension between collective and individual interests. W...