Latest AI and machine learning research in risk management for healthcare professionals.
drug design actively seeks to use sets of chemical rules for the fast and efficient identification ...
PURPOSE: The aim of this study was to enhance multispecialty CT and MRI protocol assignment quality ...
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...
Emergency department (ED) overcrowding is a global condition that severely worsens attention to pati...
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: Machine learning, a subset of artificial intelligence, is a set of models and methods th...
PURPOSE: Limiting the dose to the rectum can be one of the most challenging aspects of creating a do...
There is currently no effective treatment for acute myeloid leukemia, and surgery is also ineffectiv...
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to...
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...
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensi...
Understanding behavior is the first step to truly understanding neural mechanisms in the brain that ...
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for ...
This study investigated whether infrared spectroscopy combined with a deep learning algorithm could ...
In this paper, the l-l state estimation problem is addressed for a class of delayed artificial neura...