Latest AI and machine learning research in risk management for healthcare professionals.
Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antib...
Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segm...
While a plethora of different protein-ligand docking protocols have been developed over the past twe...
Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various m...
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex...
The aim of this study is to present a robot-assisted therapy protocol for children with ASD based on...
BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adu...
Ionic electromechanically active capacitive laminates are a type of smart material that move in resp...
Surgeons perform two primary tasks: operating and engaging patients and caregivers in shared decisio...
drug design actively seeks to use sets of chemical rules for the fast and efficient identification ...
Cryo-EM Single Particle Analysis workflows require tens of thousands of high-quality particle projec...
Despite significant advances in resolution, the potential for cryo-electron microscopy (EM) to be us...
Machine learning is a powerful tool for creating computational models relating brain function to beh...
Artificial intelligence (AI) describes systems capable of making decisions of high cognitive complex...
To determine the influence of the weight of the economic effectiveness evaluation criteria of the ma...
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but ar...
This study presents the classification of malaria-prone zones based on (a) meteorological factors, (...
Background Although several deep learning (DL) calcium scoring methods have achieved excellent perfo...
Medicine has entered the digital era, driven by data from new modalities, especially genomics and im...
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for ...
In this paper, the l-l state estimation problem is addressed for a class of delayed artificial neura...