Latest AI and machine learning research in risk management for healthcare professionals.
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable car...
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) ...
The increasingly realistic prospect of artificial intelligence (AI) playing an important role in rad...
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalen...
Radiologists are expected to expediently communicate critical and unexpected findings to referring c...
In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive...
Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease d...
BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the develop...
Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops ...
The lysosomal enzyme glucocerebrosidase-1 (GCase) catalyzes the cleavage of a major glycolipid gluco...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
The advancement of synthetic biology requires the ability to create new DNA sequences to produce uni...
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is th...
As capabilities of predictive algorithms improve, machine learning will become an important element ...
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
BACKGROUND: Robot-assisted gait training (RAGT) was developed to restore gait function by promoting ...
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...
OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagn...
INTRODUCTION: Intravenous insertion (IVI) is a very common procedure in the emergency department (ED...
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep ...