Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The Regenerative Medicine Manufacturing Society (RMMS) is the first and only professional society de...
BACKGROUND: Robotic devices are often used in rehabilitation and might be efficient to improve walki...
High-quality annotations for medical images are always costly and scarce. Many applications of deep ...
A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology w...
Depth is one of the key factors behind the success of convolutional neural networks (CNNs). Since Re...
In the following paper we present a new type of optimization algorithms adapted for neural network t...
OBJECTIVE: The role of robotic surgery in general surgery (GS) continues to expand. Several programs...
BACKGROUND: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain...
PURPOSE: To evaluate the impact of different supervision regimens on the training of artificial inte...
Postcombustion CO capture and storage (CCS) is a key technological approach to reducing greenhouse g...
Recruiting eligible patients for clinical trials is crucial for reliably answering specific question...
Recent technological advances have enabled researchers to collect large amounts of electroencephalog...
Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...
Determining the number of factors is one of the most crucial decisions a researcher has to face when...
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examinatio...
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our pre...
As a step toward learning to automatically insert new concepts into a large biomedical ontology, we ...
In recent years, protein-ligand interaction scoring functions derived through machine-learning are r...
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...
BACKGROUND: Application of machine learning for classifying human behavior is increasingly common as...
Early onset, intensive and repetitive, gait training may improve outcome after stroke but for patien...