Exercise & Fitness

Premature mortality from cardio-cerebrovascular diseases in Bogotá an analytical machine learning approach.

Living on the flood line: Constructing and validating a combined multidimensional resilience index for rural riverine floodplain communities.

Resilience analysis is crucial for developing interventions that mitigate riverine flood risk in the context of global environmental change and sustainable development. Index-based assessment remains the dominant methodological approach for operationalizing and evaluating resilience. Nevertheless, current frameworks often rely on subjective indicators, lack statistical validation, and exhibit limi...

Designing an explainable algorithm based on XGBoost and genetic algorithm for predicting hospitalization needs of COVID-19 patients.

Timely identification of COVID-19 outpatients who are at risk of hospitalization is critical for preventing clinical deterioration and optimizing heal...

Comparative machine learning models for early prediction of preterm birth from maternal serum biomarkers.

BACKGROUND: Preterm birth (PTB) is a major cause of neonatal morbidity and mortality. Inflammation and metabolic disruption are involved in its pathol...

Machine learning and metabolic signatures of drowning: A pathway to uncovering cause of death in aquatic environments.

The postmortem diagnosis of drowning is challenging due to the nonspecific and transient nature of classical autopsy findings. This study aimed to inv...

Strain Imaging in Heart Failure.

Strain imaging, performed with echocardiography and cardiovascular magnetic resonance (CMR), is a noninvasive technique for detecting subclinical myoc...

Development and initial validation of a video-mediated listening test based on multimodal generative AI.

Video-mediated listening has been recognized for its potential to facilitate learners' comprehension, engagement, and motivation by providing richer c...

Assessment of GFR Estimation Methods in Patients With Obesity.

CONTEXT: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial....

Decision tree classification of RPE-Based internal load in youth badminton players based on fitness and anthropometric profiles.

Understanding the relationship between fitness, anthropometric characteristics, and internal load is essential for optimising training and reducing in...

Determinants of intracranial microcalcification assessed by 18F-sodium fluoride PET.

PURPOSE: Intracranial calcifications are commonly found in adults and may represent either benign or pathological lesions. Conventional imaging modali...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

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

Artificial intelligence in head and neck cancer rehabilitation services: current state and future perspectives.

PURPOSE OF REVIEW: This review evaluates the current state of artificial intelligence (AI) in head and neck cancer (HNC) rehabilitation services by ma...

[AI and clinical reasoning : between promises and the risks of "deskilling"].

The rise of AI in healthcare offers major potential for diagnosis and learning but also exposes to a worrying risk of "deskilling." Recent data from c...

Advancing physical activity monitoring through bioimpedance measurement: a review.

Bioimpedance measurements have gained significant attention due to their ability to assess body composition, muscle health, and internal physiological...

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on computed tomography scans.

AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes remains incompletely characterised. The study examin...

Lesion-level dual-tracer PET biomarkers predict prognosis in multiple myeloma treated with CXCR4-directed radiopharmaceutical therapy.

BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignan...

Exploration of an interpretable machine learning-based screening manner for low muscle mass among Chinese community-dwelling older adults using routine physical examination information.

BACKGROUND: With the accelerating aging of the global population, muscle health issue occurs commonly as an age-related process in older people. The c...

Exploring positive psychology in robot-assisted language learning: A PERMA-based systematic review.

This systematic review explores the intersection of positive psychology and robot-assisted language learning (RALL), focusing on how affective factors...

AI-generated content and business English speaking: A mixed-methods study of SpeakGuru's impact on performance, motivation, and engagement.

The integration of Artificial Intelligence-Generated Content (AIGC) tools in language education, particularly for Business English learners, has gaine...