Pulmonology

Pneumonia

Latest AI and machine learning research in pneumonia for healthcare professionals.

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Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO).

Experimental data about gene functions curated from the primary literature have enormous value for r...

Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing.

BACKGROUND: Artificial intelligence can assist in interpreting chest X-ray radiography (CXR) data, b...

AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.

Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-sc...

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images.

COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR...

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.

The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a significant effec...

A community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram.

Computerized interpretation of electrocardiogram plays an important role in daily cardiovascular hea...

Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...

Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.

PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiograp...

Artificial intelligence on COVID-19 pneumonia detection using chest xray images.

Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVI...

A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.

OBJECTIVES: Cardiovascular border (CB) analysis is the primary method for detecting and quantifying ...

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires e...

A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19.

The world has experienced epidemics of coronavirus infections several times over the last two decade...

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Simulation and prediction of the scale change of fungal community. First, using the experimental dat...

Artificial intelligence models in chronic lymphocytic leukemia - recommendations toward state-of-the-art.

Artificial intelligence (AI), machine learning and predictive modeling are becoming enabling technol...

AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs.

According to the World Health Organization (WHO), novel coronavirus (COVID-19) is an infectious dise...

The simulation experiment description markup language (SED-ML): language specification for level 1 version 4.

Computational simulation experiments increasingly inform modern biological research, and bring with ...

A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection.

BACKGROUND: Chest pain is the most common symptom of aortic dissection (AD), but it is often confuse...

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