Cargando…

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 COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets and study designs from medical and technical perspectives, as well as questions on the vulnerability and robustness of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Baltazar, Lei Rigi, Manzanillo, Mojhune Gabriel, Gaudillo, Joverlyn, Viray, Ethel Dominique, Domingo, Mario, Tiangco, Beatrice, Albia, Jason
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516252/ https://www.ncbi.nlm.nih.gov/pubmed/34648509 http://dx.doi.org/10.1371/journal.pone.0257884

Ejemplares similares

Machine learning approach to single nucleotide polymorphism-based asthma prediction
por: Gaudillo, Joverlyn, et al.
Publicado: (2019)

A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci
por: Silva, Princess P., et al.
Publicado: (2022)

Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning
por: Hashmi, Mohammad Farukh, et al.
Publicado: (2020)

Genetic risk assessment based on association and prediction studies
por: Astrologo, Nicole Cathlene N., et al.
Publicado: (2023)

Modern Xray analysis III: energy dispersive analysis of Xrays and the electron microscope
por: EDAX International
Publicado: (1975)

Residual lesions on chest-Xray after SARS-CoV-2 pneumonia: Identification of risk factors()
por: Gómez Herrero, Helena, et al.
Publicado: (2022)

Start-to-End Simulation for the LCLS Xray-FEL
por: Reiche, S, et al.
Publicado: (2001)

Artificial Intelligence-Based Detection of Pneumonia in Chest Radiographs
por: Becker, Judith, et al.
Publicado: (2022)

Ultra low dose 2D/3D digital Xray system
por: de Guise, Jacques A, et al.
Publicado: (2010)

Xray Exposure Time in Dedicated Academic Simulation Programs Is Realistic of Patient Procedures
por: Debucquois, Anaïs, et al.
Publicado: (2022)

COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence
por: Dorr, Francisco, et al.
Publicado: (2020)

Diagnostic performance of artificial intelligence model for pneumonia from chest radiography
por: Kwon, TaeWoo, et al.
Publicado: (2021)

The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia
por: van Ginneken, Bram
Publicado: (2021)

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images
por: Zhang, Ruochi, et al.
Publicado: (2020)

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR
por: Monshi, Maram Mahmoud A., et al.
Publicado: (2021)

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
por: Harmon, Stephanie A., et al.
Publicado: (2020)

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
por: Li, Lin, et al.
Publicado: (2020)

Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia
por: Salvatore, Christian, et al.
Publicado: (2021)

Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia
por: Quah, Jessica, et al.
Publicado: (2021)

Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence
por: Zhang, Ran, et al.
Publicado: (2021)

Efficacy of Artificial Intelligence in the Categorisation of Paediatric Pneumonia on Chest Radiographs: A Systematic Review
por: Field, Erica Louise, et al.
Publicado: (2023)

Regarding "Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT"
por: Dadário, Andrew Maranhão Ventura, et al.
Publicado: (2020)

The Predictive Role of Artificial Intelligence-Based Chest CT Quantification in Patients with COVID-19 Pneumonia
por: Szabó, István Viktor, et al.
Publicado: (2021)

Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques
por: Islam, Rumana, et al.
Publicado: (2022)

Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
por: Bai, Harrison X., et al.
Publicado: (2021)

Human–machine partnership with artificial intelligence for chest radiograph diagnosis
por: Patel, Bhavik N., et al.
Publicado: (2019)

COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence
por: Baruah, Dhiraj, et al.
Publicado: (2022)

The impact of artificial intelligence on the reading times of radiologists for chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2023)

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
por: Huang, Jonathan, et al.
Publicado: (2023)

Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis
por: Jia, Lu-Lu, et al.
Publicado: (2022)

Can Artificial Intelligence Improve the Management of Pneumonia
por: Chumbita, Mariana, et al.
Publicado: (2020)

Differences among COVID-19, Bronchopneumonia and Atypical Pneumonia in Chest High Resolution Computed Tomography Assessed by Artificial Intelligence Technology
por: Chrzan, Robert, et al.
Publicado: (2021)

Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department
por: Ippolito, Davide, et al.
Publicado: (2023)

Artificial Intelligence for Early Detection of Chest Nodules in X-ray Images
por: Chiu, Hwa-Yen, et al.
Publicado: (2022)

Artificial intelligence-based detection of aortic stenosis from chest radiographs
por: Ueda, Daiju, et al.
Publicado: (2021)

Chest X-ray Foreign Objects Detection Using Artificial Intelligence
por: Kufel, Jakub, et al.
Publicado: (2023)

Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography
por: Farina, Juan M., et al.
Publicado: (2023)

Different Appearance of Chest CT Images of T2DM and NDM Patients with COVID-19 Pneumonia Based on an Artificial Intelligent Quantitative Method
por: Lu, Shan, et al.
Publicado: (2021)

Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence
por: Laino, Maria Elena, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_en39l8finiid9ns21lv0ekre1k