Latest AI and machine learning research in work force for healthcare professionals.
Molecular fingerprints are the workhorse in ligand-based drug discovery. In recent years, an increas...
Late-arriving patients have become a prominent concern in several ambulatory care clinics across the...
To distinguish ambiguous images during specimen slides viewing, pathologists usually spend lots of t...
In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are...
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are s...
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accura...
With the popularization of rehabilitation robots, it is necessary to develop quantitative motor func...
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effe...
In recent years, protein-ligand interaction scoring functions derived through machine-learning are r...
The core element of machine learning is a flexible, universal function approximator that can be trai...
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) h...
PURPOSE: The shortage of obstetricians and gynecologists has intensified in developed countries. Our...
Prediction of ground reaction force (GRF) magnitudes during running-based sports has several importa...
Simulation-based training is increasingly being used for assessment and training of psychomotor skil...
Understanding the distribution of life's variety has driven naturalists and scientists for centuries...
Based on the development of automatic devices and rapid assay methods, various high-throughput scree...
BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological patholo...
There has been an increasing attention to the study of stress. Particularly, college students often ...
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven a...
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprive...