Latest AI and machine learning research in risk management for healthcare professionals.
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
Clinicians would benefit from access to predictive models for diagnosis, such as classification of t...
The aim of this study is developing and validating a Deep Neural Network (DNN) based method for 3D p...
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep ...
We present two approaches for the computation of hydrogen bond acceptor strengths, one by machine-le...
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxid...
We describe here a protocol for the label-free identification of lymphocyte subtypes using quantitat...
The use of robotic systems combined with force sensing is emerging as the gold standard for in vitro...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relie...
OBJECTIVE: To assess whether robot-assisted reach training (RART) with an active assistant protocol ...
The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics re...
OBJECTIVE: Real-time myoelectric experimental protocol is considered as a means to quantify usabilit...
Knowledge of the thermodynamic properties of molecules is essential for chemical process design and ...
Cardiac computed tomography angiography (CCTA) is the gold standard for accurately sizing the aortic...
With the recent advancement in wearable computing, sensor technologies, and data processing approach...
This paper is concerned with the state estimation problem for a class of Markovian jumping neural ne...
We propose a protocol to perform quantum reinforcement learning with quantum technologies. At varian...
BACKGROUND: The population impact of alcohol screening and brief intervention might be increased by ...
We determine an optimal protocol for temozolomide using population variability and dynamic optimizat...
Glioma constitutes the most common type of primary brain tumor with a dismal survival, often measure...
Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac patients. The...