Latest AI and machine learning research in risk management for healthcare professionals.
This study aimed to identify the effect of using adaptive AI-enabled e-learning on developing digita...
Relatively abundant availability of medical imaging data has provided significant support in the dev...
A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6Â years i...
Despite recent advances in the development of machine learning potentials (MLPs) for biomolecular si...
The referral is the key source of information that enables radiologists and radiographers to provide...
Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual co...
Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to improve Huma...
Conventional positron emission tomography (PET) image reconstruction is achieved by the statistical ...
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times ...
PURPOSE: Our purposes were (1) to explore the methodologic quality of the studies on the deep learni...
Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...
Computational capabilities are rapidly increasing, primarily because of the availability of GPU-base...
BACKGROUND: A systematic approach to MRI protocol assignment is essential for the efficient delivery...
Theophylline, a typical representative of active pharmaceutical ingredients, was selected to study t...
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...
Histologic grading has been a simple and inexpensive method to assess tumor behavior and prognosis o...
Protein structure refinement is the last step in protein structure prediction pipelines. Physics-bas...
This paper investigates the robust synchronization problem for a class of master-slave neural networ...
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve ...
Deep learning offers the potential to extract more than meets the eye from images captured by imagin...