Latest AI and machine learning research in risk management for healthcare professionals.
Investigating network behavior from host-pathogen interactions is challenging. Here, we present the ...
Robotic assistance can help in physically guiding the drilling trajectory during zygomatic implant p...
Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpr...
Accurate conformational energetics of molecules are of great significance to understand maby chemica...
BACKGROUND: Social robots have demonstrated promising outcomes in terms of increasing the social hea...
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to eval...
Recently, there has been an increase in research interest in the seamless streaming of video on top ...
Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease driven by inflammation and de...
Here we present EdgeSHAPer, a workflow for explaining graph neural networks by approximating Shapley...
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...
Structure-property relationships are extremely valuable when predicting the properties of polymers. ...
Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle chang...
PURPOSE: Extracting water equivalent diameter (DW), as a good descriptor of patient size, from the C...
Different body weight-supported gait-training strategies are available for improving ambulation in i...
Raman microspectroscopy is a powerful tool for obtaining biomolecular information from single microb...
OBJECTIVE: To report imaging protocol and scheduling variance in routine care of glioblastoma patien...
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical ill...
OBJECTIVE: The objective of this scoping review is to review the available information on objective ...
Functional doppelgängers (FDs) are independently derived sample pairs that confound machine learning...
Background CT imaging of chronic total occlusion (CTO) is useful in guiding revascularization, but m...
Many applications of machine-learning methods involve an iterative protocol in which data are collec...