Exercise & Fitness

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis.

PURPOSE: This study aims to test whether week-long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people with knee osteoarthritis (KOA), (ii) separate prodromal KOA from established KOA, and (iii) identify individuals who will receive a KOA diagnosis within 5 years. METHODS: We conducted a retrospective case-control study using the UK Biobank data set....

An online machine learning model for predicting medication adherence in hypertensive patients: data from the China health and retirement longitudinal study (CHARLS).

INTRODUCTION: Hypertension, a leading global cause of death with high prevalence and poor control, faces a critical issue of poor medication adherence. Existing predictive models for medication adherence suffer from limitations such as small sample sizes, insufficient inclusion of multiple factors, and a lack of nationally representative longitudinal data on the Chinese population. AIM: This study...

IMU-Based Pelvic Rotation Detection: A Novel Dataset, Benchmark Classifiers, and Sensor Placement Optimization.

Prolonged sedentary behavior has been a major public health concern strongly associated with low back pain (LBP), the leading cause of disability worl...

Enhancing health monitoring in smart offices: a multi-layered digital twin approach.

Sedentary nature of office work contributes to a range of physical health issues, including obesity, which can result from prolonged inactivity, and c...

Assessment and AI-Based Prediction of Complications in Reduction Mammoplasty: A Combined Statistical and Fuzzy Inference Approach in a 10-Year Cohort from Tehran Hospitals (2013-2023).

INTRODUCTION: Gigantomastia causes physical, psychological, and dermatological issues, often with ptosis; reduction mammoplasty effectively relieves s...

A machine learning model for optimizing treatment of patients with poorly controlled type 2 diabetes.

BACKGROUND: Cardiorenal-protective sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) lack se...

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer rem...

Motion analysis driven by table tennis pose and analysis of participation motivation and athlete satisfaction based on artificial intelligence YOLOv8.

In table tennis training, pose-based motion analysis is of great significance for technical evaluation and training feedback. With the development of ...

Leveraging machine learning to identify gendered stereotypes and body image concerns on diet and fitness online forums.

The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating di...

Feasibility of BMI-based sub-milliSievert low-dose CT in individualized detection of lung nodules.

OBJECTIVES: To evaluate the performance of a body mass index (BMI)-based sub-milliSievert low-dose CT (LDCT) protocol with multiple reconstruction alg...

Automated prescription of therapeutic exercise for shoulder impingement syndrome using literature-driven rule generation architecture.

BACKGROUND: Shoulder impingement syndrome (SIS) is a common musculoskeletal disorder that requires individualized therapeutic exercise prescription. H...

Medical students' mental health, quality of life, motivation, and learning approaches before, during and after COVID-19: findings from a 4-wave repeated cross-sectional survey.

This study examined changes in mental health, quality of life, academic motivation, and learning approaches before, during, and after the COVID-19, pa...

Predicting health-related quality of life two years post-diagnosis across seven cancer types: using machine learning to identify vulnerable patients.

PURPOSE: Cancer survivors often experience long-term consequences affecting their Health-Related Quality of Life (HRQoL). Sociodemographic factors, cl...

Linking Individual Motives to the Type of Exercise and Sport Activity: Toward Recommendations for Optimal Activity Matching Through a Machine Learning Approach.

BACKGROUND: To effectively promote exercise and sport behavior, it is often emphasized that individual motives should be more strongly considered. The...

Ultrasonography-Based Patellar Tendon Area Measurement: Comparability of Automated vs. Manual Segmentation.

While several openly available tools for the automatic segmentation of the anatomical cross-sectional area (ACSA) of muscle exist, there is no open-so...

From Observation to Prediction: Machine Learning Analysis of Progression of Visual loss in Nonarteritic Anterior Ischemic Optic Neuropathy.

OBJECTIVE: To determine whether combinations of modifiable clinical/systemic risk factors and structured trial variables predict early disease progres...

Robot-assisted therapy following stroke: what effects on quality of life, cognitive and psychosocial outcomes? A systematic review.

OBJECTIVE: Robot-assisted therapy (RAT) has shown promise in post-stroke motor recovery. However, its effects on non-motor outcomes remain unclear. Th...

Phenotypic clustering of cardiovascular risk profiles in systemic lupus erythematosus.

ObjectiveThis study aimed to identify distinct cardiovascular risk phenotypes in systemic lupus erythematosus (SLE) using an unsupervised cluster anal...

Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings.

Seismocardiography (SCG), a non-invasive method for capturing cardio-mechanical signals, is often susceptible to noise and motion artifacts. Current a...

Machine learning-assisted wearable SERS-microfluidic system for rapid detection of sweat biomarkers and stimulants.

Sweat is an ideal biofluid for noninvasive monitoring of athletes' physiological status during exercise, as its rich chemical composition directly ref...