Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic field...
Current segmentation practice for thoracic cancer RT considers the whole heart as a single organ des...
Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, t...
This study investigated the effects of robot-assisted gait training with body weight support on gait...
BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation i...
We present the lifted proximal operator machine (LPOM) to train fully-connected feed-forward neural ...
Environmental variability often degrades the performance of algorithms designed to capture the globa...
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cogn...
Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments...
BACKGROUND: Drug discovery is time-consuming and costly. Machine learning, especially deep learning,...
Digital reconstruction of neuronal structures from 3D microscopy images is critical for the quantita...
It is widely acknowledged that biological intelligence is capable of learning continually without fo...
In the blast furnace ironmaking process, accurate prediction of silicon content in molten iron is of...
Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for r...
The forces exerted by single cells in the three-dimensional (3D) environments play a crucial role in...
Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have incr...
Over the last 20Â years, numerous technical innovations have been introduced to the histopathology la...
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obes...
Accurate and timely occupancy prediction has the potential to improve the efficiency of energy manag...
An artificial intelligence-based method can predict distinct conformational states of membrane trans...
Nowadays, artificial intelligence has gained recognition in every aspect of life. Artificial neural ...