Latest AI and machine learning research in exercise & fitness for healthcare professionals.
PURPOSE: Radiation-free tools, such as scoliometers, ultrasound, and Moiré topography, have been explored for monitoring Adolescent Idiopathic Scoliosis (AIS), but none have replaced the need for serial spinal radiographs. This study aimed to evaluate the accuracy and criterion validity of a new AI-powered digital health application using 3D surface topography to predict Cobb angles, with the goal...
People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Research shows that certain personality types expose people to risky eating behaviors. Given the complexity of nutrition-related factors and the limitations of traditional statistical methods, the use of new approaches such as artificial intelligence and machine learning can play an effective role in ...
BACKGROUND: This systematic review and Bayesian meta-analysis examined determinants of exercise effects on subjective sleep quality. METHODS: We searc...
Understanding how close an individual is to muscular failure during exercise can be used to personalize resistance training dynamically. We propose a ...
BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contr...
Human activity recognition (HAR) with wearable sensors is widely applied in health monitoring, fitness tracking, and smart environments, but the choic...
Traditional protein analysis methods rely on invasive sample collection and professional operators, which is not conducive to in situ monitoring. Desp...
INTRODUCTION/AIMS: Accurate detection of pathophysiology from tissue images is critical for appropriate diagnoses and treatments of muscular dystrophi...
BACKGROUND: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
BACKGROUND: Assistive robotics for helping older people live well and stay independent has, to date, failed to fulfill its promise: there are few assi...
Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Its tendency for postoperative distant metastasis significa...
BACKGROUND: Clinical use of cardiovascular magnetic resonance (CMR), reference tool for cardiac function and myocardial tissue assessment, is frequent...
School meals play a critical role in the daily nutrition of children and the development of lifelong eating habits. The objective of this study was to...
Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrate...
PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...
BACKGROUND: The underlying neurobiology of a recently described immuno-metabolic depression (IMD) subtype of major depressive disorder (MDD), characte...
This research examines an artificial intelligence-driven personalized intervention system that integrates physical exercise and mindfulness practices ...
Physical exercise is known to delay the cognitive decline in the elderly. However, the effect of low-impact balance exercises such as yoga or Tai chi ...