Latest AI and machine learning research in fibromyalgia for healthcare professionals.
To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...
Early circulatory failure detection is an effective way to reduce medical fatigue and improve state ...
A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state ...
Coronavirus disease 2019 (COVID-19) continues to be a disease of global importance, with an increasi...
It is of great practical and theoretical significance to identify driver fatigue state in real time ...
Label noise is omnipresent in the annotations process and has an impact on supervised learning algor...
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which i...
Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledg...
Measuring trust is an important element of effective human-robot collaborations (HRCs). It has large...
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...
BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endo...
The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and en...
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth re...
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and a...
BACKGROUND: Remote surgery social implementation necessitates achieving low latency and highly relia...
Data-driven models based on deep learning have led to tremendous breakthroughs in classical computer...
The continuous monitoring of an individual's breathing can be an instrument for the assessment and e...
Roads are a strategic asset of a country and are of great importance for the movement of passengers ...
This work aimed to investigate the brain resting-state functional magnetic resonance imaging (fMRI) ...
Physiological signals are of great importance for clinical analysis but are prone to diverse interfe...