Latest AI and machine learning research in pneumonia for healthcare professionals.
As SARS-CoV-2 has spread quickly throughout the world, the scientific community has spent major effo...
Computed tomography (CT) is one of the most efficient diagnostic methods for rapid diagnosis of the ...
The paper presents a semiotic interpretation of the phenomenological debate on the notion of person,...
To assist physicians identify COVID-19 and its manifestations through the automatic COVID-19 recogni...
AIM: To evaluate the suitability of a deep-learning (DL) algorithm for identifying normality as a ru...
BACKGROUND: Identifying cognitive impairment early enough could support timely intervention that may...
PURPOSE: This study evaluated the performance of a commercially available deep-learning algorithm (D...
BACKGROUND: To accurately diagnose and control heart failure (HF), it is important to carry out a si...
Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to...
To address the challenges posed by large-scale development, validation, and adoption of artificial i...
In recent years, deep learning-based image analysis methods have been widely applied in computer-aid...
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has l...
BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for preven...
BACKGROUND: Chest X-ray radiography (CXR) has been widely considered as an accessible, feasible, and...
BACKGROUND: We aimed to train and test a deep learning classifier to support the diagnosis of corona...
This paper focuses on the thorax disease classification problem in chest X-ray (CXR) images. Differe...
Modern neurophysiology research requires the interrogation of high-dimensionality data sets. Machine...
With many successful stories, machine learning (ML) and deep learning (DL) have been widely used in ...
PURPOSE: We aimed to systematically analyse how the radiology community discusses the concept of art...
Rule-based Natural Language Processing (NLP) pipelines depend on robust domain knowledge. Given the ...
OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to ra...