Latest AI and machine learning research in sports medicine for healthcare professionals.
Inspired by the embodied intelligence of biological creatures like the octopus, the soft robotic arm utilizes its highly flexible structure to perform various tasks in the complex environment. While the classic Cosserat rod theory investigates the bending, twisting, shearing, and stretching of the soft arm, it fails to capture the in-plane deformation that occurs during certain tasks, particular...
MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DINOv2 are encouraging for 2D image analysis, these methods have not been applied to 3D medical images. Furthermore, deep learning models often lack explainability due to their "black-box" nature. This...
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat ...
Precision rehabilitation offers the promise of an evidence-based approach for optimizing individual rehabilitation to improve long-term functional o...
BACKGROUND: Upper limb rehabilitation robot is a relatively new technology, but its effectiveness remains debatable due to the inconsistent results of...
PURPOSE: Aortic stenosis (AS) is a common cardiovascular condition where early detection of left ventricular (LV) dysfunction is essential for timely ...
We present SoccerGuard, a novel framework for predicting injuries in women's soccer using Machine Learning (ML). This framework can ingest data from...
OBJECTIVES: To achieve intelligent recognition and segmentation of common craniocerebral injuries (hereinafter referred to as "segmentation") by train...
Anterior ST-segment elevation myocardial infarction (STEMI) is associated with severe adverse remodeling and increased mortality rates. In this stud...
OBJECTIVE: To evaluate the efficacy of different forms of virtual reality (VR) treatments as either immersive virtual reality (IVR) or non-immersive...
Phages, the natural predators of bacteria, were discovered more than 100Â years ago. However, increasing antimicrobial resistance rates have revitalize...
This research dives into exploring the dark mode effects on students of a university. Research is carried out implementing the dark mode in e-Learni...
The study aims to investigate the similarities and differences in the brain damage caused by Hypoxia-Ischemia (HI), Hypoglycemia, and Epilepsy. Hypo...
The use of artificial intelligence applications in medicine has been common in recent decades. Machine learning, a subfield of artificial intelligence...
Lower limb exoskeleton rehabilitation robots are used to improve or restore the walking and movement ability of people with lower limb movement disord...
Given the conference's focus on innovative healthcare solutions, our investigation into robotic assistance systems highlights crucial advancements in ...
INTRODUCTION: Computational head injury models are promising tools for understanding and predicting traumatic brain injuries. However, most available ...
Work-related transportation incidents significantly impact urban mobility and productivity. These incidents include traffic crashes, collisions betw...
The control strategy of rehabilitation robots should not only adapt to patients with different levels of motor function but also encourage patients to...
OBJECTIVE: To explore the diagnostic value of micropure imaging (MI) combined with strain elastography (SE) in correcting artificial intelligence (AI)...