Sports Medicine

Longitudinal Strain by Artificial Intelligence-Driven Automated Strain Analysis for Left Ventricular Function Evaluation and Infarct Region Estimation.

PURPOSE: Accurate evaluation of left ventricular (LV) dysfunction and infarct localization in acute myocardial infarction (AMI) remains challenging due to subjective variability in conventional echocardiographic analysis. This study validates an artificial intelligence (AI)-driven automated strain framework for standardized quantification of myocardial deformation and its correlation with clinical...

Early Detection of Traumatic Brain Hematoma Using Machine Learning-Powered Near-Infrared Spectroscopy: A Case Report in a Kabaddi Player.

Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries a high risk of head injuries, yet limited research has addressed their acute neurological impact. Conventional imaging such as computed tomography is the gold standard for hematoma detection but is often inaccessible in field settings. This case rep...

A Bilayer Hydrogel Sensor for Elderly Oriented Human-Machine Interaction.

As the population ages, the need for accessible and effortless human-machine interaction (HMI) systems tailored to elderly users has grown rapidly. Ho...

Taiwan Academy of Tumor Ablation (TATA) consensus on hepatocellular carcinoma ablation.

Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality worldwide, underscoring its public health burden. Ablation therapy is o...

Apps for people with vision impairment: an international review of practitioner suggestions and app availability.

CLINICAL RELEVANCE: Assistive smartphone apps play an integral role in supporting people with vision impairment (VI). Low vision rehabilitation (LVR) ...

Non-pharmacological treatment of AECOPD.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterized by rapid worsening of dyspnea, cough, and sputum...

The SEWAbility system: a video-based job analysis framework for understanding task-specific job demands.

This study introduces the Smart Evaluation of Work Ability (SEWAbility), an AI-powered video analysis system designed to support objective job analysi...

Screening Biomarkers for Nerve Injury Using Weighted Gene Co‐Expression Network Analysis and Machine Learning.

BACKGROUND: Nerve injury triggers complex molecular responses involving immune activation and neuronal damage, yet the key regulatory genes and their ...

Correlation between the high-density lipoprotein-to-low-density lipoprotein ratio and contrast-induced acute kidney injury: an analysis based on the in-hospital AKI electronic monitoring system.

BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common and serious complication that can occur following angiography procedures. Consid...

Lean mass loss in the intensive care unit and its restoration: A narrative review.

The preservation of lean mass (LM) and its restoration following catabolic loss represents a primary challenge for clinical nutrition in critically il...

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data.

BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a hip fracture, with 50% requiring geriatric rehabil...

Artificial intelligence facilitated smile design for the rehabilitation of a fully maxillary edentulous patient with a complete arch implant-supported prosthesis: A dental technique.

This dental technique describes the use of an artificial intelligence (AI)-facilitated digital workflow in the rehabilitation of an edentulous maxilla...

Computational Design of Thermally Stable Nanoprecipitates in Al-Zn-Mg Alloys: Insights From High-Throughput DFT and Machine Learning.

The exceptional strength of 7000 series (Al-Zn-Mg) aluminum alloys originates from nanoscale, metastable η' precipitates. However, the transformation ...

Machine learning-based prediction and quantification of OCD surgery and pedigree effects on racehorse performance.

Osteochondritis dissecans (OCD) is a common developmental orthopedic condition in Thoroughbred racehorses and although arthroscopic surgery is widely ...

Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and lingering cognitive, psychological, and physical imp...

Strain Imaging in Heart Failure.

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

Multidimensional analysis of postoperative nursing challenges in oral cancer surgery: a retrospective study of 245 patients and proposal of the PROTECT mode.

PURPOSE: The quality of postoperative care for oral tumors critically influences patient prognosis and quality of life; however, current nursing syste...

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...

Strategies to reduce perioperative acute kidney injury in non-cardiac adult surgeries: the secret sauce.

Acute kidney injury is a common perioperative complication that leads to significant downstream effects on the patient and the health system. Patients...

Advances in Predicting Postoperative Atrial Fibrillation: A Narrative Review of the Current Literature.

Postoperative atrial fibrillation (POAF) is a common adverse event after cardiac surgery. It is associated with increased risk of both morbidity and m...