Pneumonia

Automatic Localization and Identification of Thoracic Diseases from Chest X-rays with Deep Learning.

BACKGROUND: There are numerous difficulties in using deep learning to automatically locate and ident...

An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR.

BACKGROUND: With the emergence of continuously mutating variants of coronavirus, it is urgent to dev...

Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography.

INTRODUCTION: Computed tomography (CT) is an auxiliary modality in the diagnosis of the novel Corona...

Feasibility of Radiomics to Differentiate Coronavirus Disease 2019 (COVID-19) from H1N1 Influenza Pneumonia on Chest Computed Tomography: A Proof of Concept.

BACKGROUND: Chest computed tomography (CT) plays an essential role in diagnosing coronavirus disease...

Deep Learning and Binary Relevance Classification of Multiple Diseases using Chest X-Ray images.

Disease detection using chest X-ray (CXR) images is one of the most popular radiology methods to dia...

Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method.

Detection of lung contour on chest X-ray images (CXRs) is a necessary step for computer-aid medical ...

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images.

Topological Data Analysis (TDA) has emerged recently as a robust tool to extract and compare the str...

Greece used AI to curb COVID: what other nations can learn.

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.

OBJECTIVES: The aim of this study was to leverage volumetric quantification of airspace disease (AD)...

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important t...

A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study.

MATERIALS AND METHODS: Five publicly available databases comprising normal CXR, confirmed COVID-19 p...

An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis.

In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great chall...

The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.

In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been re...

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Machine learning systems have received much attention recently for their ability to achieve expert-l...

Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.

Tuberculosis (TB) is a major health issue with high mortality rates worldwide. Recently, tremendous ...

Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs.

PURPOSE: To evaluate the performance of a deep learning (DL) algorithm for the detection of COVID-19...

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) v...

Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter.

To adapt and extend an existing typology of vaccine misinformation to classify the major topics of ...

Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.

PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important...

A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.

The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs ...

Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medi...