Latest AI and machine learning research in sports medicine for healthcare professionals.
Robotic-assisted surgery is now well-established in spine surgery and total joint arthroplasty, but its application to arthroscopy has only recently emerged in the context of advances in artificial intelligence (AI) and robotic technology. This new application addresses limitations of conventional arthroscopy, including constrained depth perception, variation in technique or anatomy leading to ina...
OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to significant breakthroughs such as early screening, targeted therapies, and immunotherapy, contributing to reduced mortality rates in cancer patients. Despite these achievements, cancer continues to be a major public health challenge. This study employs bibliometric techniques to visually analyze the Engli...
BACKGROUND: Falls among older adults are a significant public health concern, often leading to severe injuries, decreased quality of life, and substan...
This investigation employed a synergistic approach integrating bioinformatics and machine learning methodologies to scrutinize overweight-related oste...
Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to quantify. Conventional behavioral tests, such as t...
Maxillofacial prosthetics is a specialized field focused on replacing part or all of the facial and cranial structures. In recent years, digital techn...
Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis...
Flexible strain sensors have garnered significant attention due to their high sensitivity, rapid response, and flexibility. Recent innovations, partic...
Flexible ionic conductors hold potential for wearable sensors and energy harvesting. However, most gel-based conductors suffer from solvent evaporatio...
BACKGROUND: Intestinal ischemia-reperfusion (II/R) injury is a serious condition characterized by high morbidity and mortality rates. Research has sho...
Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including apoptosis, inflammation, and destabilization of neur...
Proprioception in soft robots is essential for enabling autonomous behaviors, allowing them to navigate and interact safely in unstructured environmen...
This study aims to develop an intelligent system leveraging Internet of Thing (IoT) technology to enhance the precision of youth physical training mon...
Wearable strain sensors designed for underwater environments and monitoring users' health status and safety are highly desirable. However, constructin...
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents, significantly increasing the risk of suicide and...
No predictive models have been reported for tracheostomy extubation success in plateau region rehabilitation departments. Hence, the primary objective...
INTRODUCTION: Global longitudinal strain (GLS) is an important prognostic indicator for predicting heart failure and cancer therapy-related cardiac dy...
INTRODUCTION: Stroke is a significant global public health challenge, ranking as the second leading cause of death after heart disease. One of the mos...
Ab initio molecular dynamics (AIMD) simulations have been employed to investigate doped antiperovskite solid-state electrolyte (AP SSE) structures, sp...
Coronary functional assessment plays a critical role in guiding decisions regarding coronary revascularization. Traditional methods for evaluating fun...