Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Deep learning is gaining importance in the prediction of cognitive states and brain path...
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...
Deformable image registration can be time consuming and often needs extensive parameterization to pe...
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...
BACKGROUND: Inaccuracies in treatment setup during radiation therapy for breast cancers may increase...
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...
PURPOSE: American Indian (AI) children experience significant disparities in health-care access. As ...
Accurate protein structure prediction from amino acid sequence is still an unsolved problem. The mos...
STUDY OBJECTIVES: The potential of a remotely controlled mandibular positioner (RCMP) during sleep s...
This paper aims to address the segmentation and classification of lytic and sclerotic metastatic les...
This paper reports comparative extraction efficiencies and enhancement methods for natural herbicida...
We propose a protocol to perform quantum reinforcement learning with quantum technologies. At varian...