Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Background Risk stratification systems for thyroid nodules are often complicated and affected by low...
An accurate energy scoring function is crucial for protein structure prediction. Given the increasin...
This paper tries to give a gentle introduction to deep learning in medical image processing, proceed...
Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. E...
Increased urinary acetylated polyamines (APs) are reported as cancer biomarkers in many studies. N,N...
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impo...
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radio...
Standardized clinical pathways are useful tool to reduce variation in clinical management and may im...
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting sys...
Low-rank representation (LRR) has aroused much attention in the community of data mining. However, i...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however...
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...
Significant technical advances have been made in radiology since the first discovery of X-rays. Diag...
Understanding genetic mechanism of complex diseases is a serious challenge. Existing methods often n...
Quality reporting that relies on coded administrative data alone may not completely and accurately d...
The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been rep...
Air pollutant concentration forecasting is an effective method of protecting public health by provid...
With the rapid development of modern medical imaging technology, medical image classification has be...
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of th...
OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug r...