Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research community by presenting grievous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that results in a huge number of mortalities and high morbidities worldwide. Furthermore, the symptoms-based variations in virus type add new challenges for the research and practitioners to combat. COVID-19-...
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural network is one of the most popular methods of deep learning today. The convolutional neural network has the feature of local perception, which allows a comp...
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity...
BACKGROUND: Remote surgery social implementation necessitates achieving low latency and highly reliable video/operation signal transmission over econo...
Data-driven models based on deep learning have led to tremendous breakthroughs in classical computer vision tasks and have recently made their way int...
The continuous monitoring of an individual's breathing can be an instrument for the assessment and enhancement of human wellness. Specific respiratory...
Roads are a strategic asset of a country and are of great importance for the movement of passengers and goods. Increasing traffic volume and load, tog...
This work aimed to investigate the brain resting-state functional magnetic resonance imaging (fMRI) technology based on the depth autoencoders algorit...
Physiological signals are of great importance for clinical analysis but are prone to diverse interferences. To enable practical applications, biosigna...
Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand movements in a tiresome manner to rebuild the injure...
BACKGROUND: Surgeons are among the most at risk of work-related musculoskeletal health decline because of the physical demands of surgery, which is al...
Advances in robotic technology have been adopted in various subspecialties of both open and minimally invasive surgery, offering benefits such as enha...
The biological visual system encodes optical information into spikes and processes them by the neural network, which enables the perception with high ...
BACKGROUND: The master manipulator with position and posture decoupling and force feedback can improve the immersion of the operation, and the gravity...
PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognition rate and poor stability. Electrocardiogram (ECG)...
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview wit...
Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning detection system structure is designed, and a convolut...
While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often suffer from physical fatigue as they provide resis...
(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study aimed to examine the efficacy of GT extract in ameli...
BACKGROUND: Current robot-aided training allows for high-intensity training but might hamper the transfer of learned skills to real daily tasks. Many ...