Latest AI and machine learning research in risk management for healthcare professionals.
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...
INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis ...
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 ...
PURPOSE: In an ultrahigh-resolution CT (U-HRCT), deep learning-based reconstruction (DLR) is expecte...
Deep learning offers the potential to extract more than meets the eye from images captured by imagin...
This paper aims to present the analysis and development of a complete electronic smart meter that is...
OBJECTIVES: To evaluate the image quality and iodine concentration (IC) measurements in pancreatic p...
STUDY OBJECTIVE: Obesity is a growing worldwide epidemic, and patients classified as obese undergoin...
This editorial aims to contribute to the current debate about the quality of studies that apply mach...
PURPOSE: To assess the incidence of erroneous diagnosis of pneumatosis (pseudo-pneumatosis) in patie...
Central among the tools and approaches used for ligand discovery and design are Molecular Dynamics (...
We argue why interpretability should have primacy alongside empiricism for several reasons: first, i...
Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML)...
INTRODUCTION: The application of advanced technologies in paediatric rehabilitation to improve perfo...