Sports Medicine

AI-guided integration of aging-related functional assessment to predict nonresponse to cardiac rehabilitation in heart failure.

BACKGROUND: Cardiac rehabilitation (CR) improves functional capacity and outcomes in patients with heart failure (HF). However, a clinically significant subgroup of patients exhibits limited improvements in aerobic capacity, indicating substantial heterogeneity in response and limiting the effectiveness of standardized rehabilitation programs. OBJECTIVE: To develop an interpretable artificial inte...

Predicting spontaneous preterm birth using machine learning algorithms.

STUDY DESIGN: This prospective cohort study included pregnant women from a tertiary hospital in Kunming between 2022 and 2023. Demographic characteristics, clinical history, and cervical elastography parameters were analyzed. Four machine learning (ML) algorithms-Boruta, Lasso regression, Sliding Window Sequential Forward Selection (SWSFS), and XGBoost-were applied to screen predictors and constru...

Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.

OBJECTIVE: To explore the clinical value of AI-assisted pulmonary rehabilitation education in patients undergoing thoracoscopic surgery for lung cance...

Impact of Sensory Haptic Vibrotactile Feedback on Manual Dexterity in Augmented Reality.

The use of immersive environments is increasing, especially in rehabilitation and other areas, like sports and gaming. Tasks performed in virtual/augm...

Machine Learning-Based Study on Xin-Pi Simultaneous Treatment Formula via Drug Nanodelivery Systems Regulating Macrophage Polarization and TEAD2/PKM2 Synergistic Repair Strategy in Myocarditis.

BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechanisms including immune dysregulation and metabolic d...

Performance evaluation of an EEG-guided robotic glove with machine learning models for hand rehabilitation in injured athletes.

BackgroundAssistive rehabilitation technologies play a crucial role in improving motor recovery for individuals with hand injuries particularly athlet...

Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach.

BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurolog...

Huoxue Jiedu formula attenuates myocardial ischemia-reperfusion injury by modulating LAPTM4B/mTORC1/TFEB pathway-mediated autophagic flux.

BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) severely limits the benefits of revascularization in acute myocardial infarction, with impai...

Digital profile of children's hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction.

BACKGROUND AND AIMS: Paediatric myocardial strain analysis through echocardiography is often characterized by high variance and limited precision, hig...

Gradient Electrode-Electrolyte Interface Enables Ultrastable Piezoionic Sensor for Artificial Intelligence.

Piezoionic sensors perceive the physical world based on polymer ionogels with advantages of flexibility, lightweight, and high sensitivity, and are su...

Osteoarthritis phenotypes: advancing precision medicine through clinical, structural, and molecular stratification.

PURPOSE: Osteoarthritis (OA) is now understood as a heterogeneous syndrome driven by diverse biological, biomechanical, metabolic, genetic, and molecu...

Integrative bioinformatics and machine learning reveal an association of LTF and MMP8 with systemic inflammation and lung injury.

BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortali...

Artificial intelligence for left ventricular strain.

PURPOSE OF REVIEW: To review recent advances in artificial intelligence (AI) for left ventricular (LV) strain echocardiography, with emphasis on studi...

Interfacial impedance engineering in ionic hydrogels for integrated enzymatic and electrophysiological sensing.

Interfacial charge-transfer resistance remains a critical bottleneck in wearable enzymatic biosensors, particularly in soft, deformable systems, where...

Distinct 3-Dimensional Anatomic Patterns Including Flatter Surfaces and Greater Sagittal Inclinations of Intra-articular Structures Are Reliably Identified Through an Artificial Intelligence-Based Pipeline in Anterior Cruciate Ligament-Injured Knees.

PURPOSE: To evaluate whether an automated AI-based pipeline can identify 3-dimensional (3D) anatomic patterns associated with anterior cruciate ligame...

Editorial Commentary: Traveling to A New Dimension in Anterior Cruciate Ligament Injury Risk Stratification: Holistic 3-Dimensional Knee Phenotyping via Automated Artificial Intelligence Pipelines.

Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two-dimensional radiographic parameters (e...

Global Trends and Research Hotspots in Soccer Injury Literature: A Bibliometric Analysis (1904-2025).

IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive ...

Predictive modeling of injury risk based on body composition and physical fitness performance tests in professional football: A four-year study.

Preventing sports injuries in professional football enhances players' availability and performance. Machine learning, including artificial neural netw...

Computationally intelligent calibration framework for durable soft strain sensors.

The ever-growing demand of soft strain sensors in ubiquitous electronics poses urgent need of device durability innovations to reduce resource waste. ...

Inflammatory-neurodegenerative crosstalk in pediatric severe traumatic brain injury: a multi-domain plasma proteomic study.

BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterizati...