Latest AI and machine learning research in practice management for healthcare professionals.
With the rapid development of modern medical imaging technology, medical image classification has be...
Pathology reports are a primary source of information for cancer registries which process high volum...
Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs...
The current paper examines how a recurrent neural network (RNN) model using a dynamic predictive cod...
To better understand encoding and decoding of stimulus information in two specific hippocampal sub-r...
BACKGROUND: Immunofluorescence (IF) plays a major role in quantifying protein expression in situ and...
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects million...
OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plai...
The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre...
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would b...
Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mor...
In this paper, we propose a novel sparse coding and counting method under Bayesian framework for vis...
AIMS: The present study is to investigate the role of long non-coding RNAs (lncRNAs) in the developm...
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (...
We propose the architecture of a novel robot system merging biological and artificial intelligence b...
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cos...
BACKGROUND: Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) has been designed as ...
Data encoded as symmetric positive definite (SPD) matrices frequently arise in many areas of compute...
BACKGROUND: Indications for the primary prevention of sudden death using an implantable cardioverter...
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies fo...
Deep learning has shown great potential for curvilinear structure (e.g., retinal blood vessels and n...