Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...
The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of ant...
BACKGROUND: It is challenging to assess the quality of care and detect elder abuse in nursing homes,...
OBJECTIVE: Antiphospholipid antibody syndrome (APS) is one of the most common acquired thrombophilic...
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical sett...
In this paper, we present the experimental results of an embodied cognitive robotic approach for mod...
Quantitative descriptions of network structure can provide fundamental insights into the function of...
Analysis of biogenic amines (BAs) in different human samples provides insight into the mechanisms of...
Structured reporting in medicine has been argued to support and enhance machine-assisted processing ...
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators ...
The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informa...
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...
Estimating continuous optical flow is a fundamental yet challenging problem in dynamic visual percep...
Vascular circulation follows fundamental biophysical principles that optimize mass transport and met...
Estimating continuous optical flow is a fundamental yet challenging problem in dynamic visual percep...
Background: Large-scale estimates of animal-to-human drug translation and the study characteristics ...
Unsupervised fine-grained image hashing aims to learn compact binary codes that preserve subtle visu...
The release of public 3D medical image segmentation (MIS) datasets accelerates clinical research but...
Accurate image segmentation remains challenging, particularly in generating sharp, confident boundar...
Objective: How structured clinical features and cluster-semantic embeddings interact under self-dist...
Cancer screening is a reasoning task. A radiologist observes findings, compares them to prior scans,...