Exercise & Fitness

Hybrid deep learning with attention mechanism for monitoring and classifying physical exercise postures using sensor data.

Accurate detection and classification of different physical exercise postures play a crucial role in monitoring fitness levels, preventing injuries, and personalizing workout routines. Traditional approaches using handcrafted feature extraction and shallow classifiers often suffer from low generalization and limited scalability. To address these limitations, this paper explores advanced deep learn...

Prediction of incident atrial fibrillation from retinal fundus images using a multimodal foundation model.

Atrial fibrillation (AF), a common cardiac arrhythmia, presents significant challenges for early detection and management due to its asymptomatic and paroxysmal characteristics. In this study, we introduce the RetiAF score, a multimodal foundation-model-based biomarker derived from retinal fundus images for early detection of AF. We identified that the RetiAF score demonstrated a robust performanc...

Multimodal imaging to analyze the biomechanical properties of kidney tumors, evaluating feasibility, inter-modality correspondence, and diagnostic value (UroCCR-115).

INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, convent...

Wasserstein Deep Convolutional GAN With Growth Optimizer for Multi-Modal Feature Extraction in Cardiovascular Diagnosis.

BACKGROUND: Cardiovascular disease (CVD) diagnosis using multimodal health care data remains a major challenge due to the heterogeneity of clinical an...

AI-Assisted Literature Mining Reveals Spatiotemporal Heterogeneity and Progression Trajectories of Traditional Chinese Medicine Syndromes in Coronary Heart Disease in China.

Despite the centrality of syndrome differentiation in guiding personalized traditional Chinese medicine (TCM) interventions for coronary heart disease...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...

Association of C-reactive protein to albumin ratio with progression of CKD and all-cause mortality in diabetic CKD.

INTRODUCTION: The C-reactive protein to albumin ratio (CAR), an integrative biomarker of inflammation and malnutrition, has shown prognostic value in ...

Machine-Learning-Enabled Rapid Evolution of Photoenzymes for the Asymmetric Synthesis of gem-Difluorophosphonates.

gem-Difluorophosphonates are pivotal structural motifs in pharmaceuticals and bioactive molecules. While photoenzymatic catalysis provides a powerful ...

Cross-Modal Feature Adapter for Few-Shot Human Activity Recognition.

Recent years have witnessed outstanding success of deep learning in sensor-based human activity recognition (HAR), spanning a wide range of real-world...

Are T1-weighted and T2-weighted volumetric pipelines interchangeable methodologies for investigating amyotrophic lateral sclerosis pathology in vivo?

PURPOSE: To test the hypothesis that T1-w and T2-w volumetric pipelines are not interchangeable, particularly regarding their differential sensitivity...

Finding the Goldilocks Zone for Toddler Accelerometry: How Many Days Are Needed for a Reliable Estimate of Physical Activity and Sedentary Time Using Machine Learning?

PURPOSE: To understand how many days and hours per day of accelerometer wear are needed for a reliable estimation of sedentary time and physical activ...

Understanding Drivers of Physical Activity Through Explainable Machine Learning: The Role of Disability and Social Determinants.

BACKGROUND: Physical activity among adults with disabilities is influenced by functional limitations, health status, and socioeconomic conditions; yet...

Predicting anaerobic power status of taekwondo athletes from anthropometric and biomechanical features: a multi-branch attention deep network with SHAP and LIME interpretability.

Anaerobic power is a core physical fitness indicator that substantially influences competitive performance in taekwondo; however, the Wingate 30-secon...

Psychosomatic Susceptibility Profile (PSSP): a machine-learning-derived eight-item instrument integrating personality and coping for psychosomatic risk stratification.

Psychological, behavioral, and physical factors jointly contribute to heterogeneity in health-related outcomes, yet existing instruments often assess ...

A predictive tool incorporating frailty scores for perioperative risk assessment in patients with spinal metastasis: a national retrospective cohort study.

BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due to tumor burden, neurologic compromise, and limite...

Construction and validation of a machine learning model for predicting early pregnancy in patients with polycystic ovary syndrome: a retrospective cohort study.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a leading cause of female infertility, and early pregnancy outcomes in affected women are affected by m...

The algorithmic covenant: why AI-driven consent must not replace clinician responsibility.

Health systems are increasingly deploying artificial intelligence (AI) tools to deliver procedural information, generate documentation, and support pa...

ECG arrhythmia classification via wavelet-driven feature extraction and swarm-optimised gradient boosting.

Cardiovascular diseases have been the primary contributor to deaths worldwide, and hence, the need to detect arrhythmia from Electrocardiogram signals...

Preoperative MRI and clinical indicators for predicting meniscal repairability: a machine learning-based study.

OBJECTIVES: To develop and internally validate a radiology-centered machine-learning model using preoperative MRI and clinical characteristics to pred...

Diagnostic Tests for Stage B Heart Failure.

PURPOSE OF THE REVIEW: To provide an overview of diagnostic tests for Stage B heart failure (SBHF), synthesizing evidence from guidelines and clinical...