Latest AI and machine learning research in surveys for healthcare professionals.
Emotion in the learning process can directly influence the learner's attention, memory, and cognitiv...
Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...
Segmenting single cells is a necessary process for extracting quantitative data from biological micr...
To identify the influencing factors and develop a predictive model for the risk of abnormal liver fu...
Advances in neural networks have garnered growing interest in applications of machine vision in live...
The world is witnessing an increasing number of senior adult residents who experience health issues....
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegen...
Visualizations themselves have become a data format. Akin to other data formats such as text and ima...
The built-in relay in a meter is a key control component of a smart meter, and its reliability deter...
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of utmost impor...
Transformers play an essential role in power networks, ensuring that generated power gets to consume...
In this article, a delay-compensation-based state estimation (DCBSE) method is given for a class of ...
Histopathological images contain abundant phenotypic information and pathological patterns, which ar...
Artificial Intelligence (AI) has been applied successfully in many real-life domains for solving com...
Predicting recovery after trauma is important to provide patients a perspective on their estimated f...
In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the s...
After wars, some unexploded bombs remained underground, and these faulty bombs seriously threaten th...
In the context of multicultural information, to explore and analyze the use effect of voice interact...
PURPOSE: Artificial intelligence (AI) has high diagnostic accuracy for coronary artery disease (CAD)...
This paper is devoted to design an event-triggered data-driven control for a class of disturbed nonl...
Dynamic neural network is an emerging research topic in deep learning. Compared to static models whi...