Cargando…

Artificial Intelligence-Based Detection of Pneumonia in Chest Radiographs

Artificial intelligence is gaining increasing relevance in the field of radiology. This study retrospectively evaluates how a commercially available deep learning algorithm can detect pneumonia in chest radiographs (CR) in emergency departments. The chest radiographs of 948 patients with dyspnea bet...

Descripción completa

Detalles Bibliográficos
Autores principales:	Becker, Judith, Decker, Josua A., Römmele, Christoph, Kahn, Maria, Messmann, Helmut, Wehler, Markus, Schwarz, Florian, Kroencke, Thomas, Scheurig-Muenkler, Christian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221818/ https://www.ncbi.nlm.nih.gov/pubmed/35741276 http://dx.doi.org/10.3390/diagnostics12061465

Ejemplares similares

Impact of the COVID-19 Pandemic on In-Patient Treatment of Peripheral Artery Disease in Germany during the First Pandemic Wave
por: Scheurig-Muenkler, Christian, et al.
Publicado: (2022)

Improved Thermal Sensitivity Using Virtual Monochromatic Imaging Derived from Photon Counting Detector CT Data Sets: Ex Vivo Results of CT-Guided Cryoablation in Porcine Liver
por: Decker, Josua A., et al.
Publicado: (2023)

Assessment of epicardial adipose tissue on virtual non-contrast images derived from photon-counting detector coronary CTA datasets
por: Risch, Franka, et al.
Publicado: (2022)

Comparison and Trends of Endovascular, Surgical and Hybrid Revascularizations and the Influence of Comorbidity in 1 Million Hospitalizations Due to Peripheral Artery Disease in Germany Between 2009 and 2018
por: Decker, Josua A., et al.
Publicado: (2022)

Nationwide Trends and the Influence of Age and Gender in the In-Patient Care of Patients with Hepatocellular Carcinoma in Germany between 2010 and 2020
por: Decker, Josua A., et al.
Publicado: (2023)

Coronary Artery Disease in Patients Hospitalized for Peripheral Artery Disease: A Nationwide Analysis of 1.8 Million Patients
por: Helmer, Magnus, et al.
Publicado: (2023)

Treatment of acute mesenteric ischemia between 2010 and 2020 – a German nation-wide study
por: Bette, Stefanie, et al.
Publicado: (2023)

Visualization of bone details in a novel photon-counting dual-source CT scanner—comparison with energy-integrating CT
por: Bette, Stefanie J., et al.
Publicado: (2021)

German nation-wide in-patient treatment of abdominal aortic aneurysm—trends between 2005 and 2019 and impact of the SARS-CoV-2 pandemic
por: Bette, Stefanie, et al.
Publicado: (2023)

Optimal Conspicuity of Liver Metastases in Virtual Monochromatic Imaging Reconstructions on a Novel Photon-Counting Detector CT—Effect of keV Settings and BMI
por: Bette, Stefanie, et al.
Publicado: (2022)

Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR—Performance of a Novel Calcium-Preserving Reconstruction Algorithm
por: Decker, Josua A., et al.
Publicado: (2022)

Targeted tibio-peroneal re-entry during subintimal revascularization using the Outback® catheter
por: Rippel, K., et al.
Publicado: (2021)

Technical success and associated economic implications of conventional re-entry devices in subintimal recanalization of femoro-popliteal chronic total occlusions
por: Rippel, Katharina, et al.
Publicado: (2023)

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

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

Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia
por: Quah, Jessica, 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)

Performance of the VitaPCR rapid molecular test for SARS-CoV-2 screening at hospital admission
por: Schuierer, Lukas, et al.
Publicado: (2023)

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)

Step-up training for colorectal and gastric ESD and the challenge of ESD training in the proximal colon: results from a German Center
por: Ebigbo, Alanna, et al.
Publicado: (2018)

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

Image Characteristics of Virtual Non-Contrast Series Derived from Photon-Counting Detector Coronary CT Angiography—Prerequisites for and Feasibility of Calcium Quantification
por: Braun, Franziska M., et al.
Publicado: (2023)

Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
por: Meinikheim, Michael, et al.
Publicado: (2023)

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents
por: Wu, Joy T., et al.
Publicado: (2020)

COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
por: Murphy, Keelin, et al.
Publicado: (2020)

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

Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2022)

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
por: Ahn, Jong Seok, et al.
Publicado: (2022)

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
por: Hillis, James M., et al.
Publicado: (2022)

Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs
por: Kwak, Se Hyun, et al.
Publicado: (2023)

An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis
por: Römmele, Christoph, et al.
Publicado: (2022)

The role of artificial intelligence in plain chest radiographs interpretation during the Covid-19 pandemic
por: AlNuaimi, Dana, et al.
Publicado: (2022)

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2023)

Performance of antigen testing for diagnosis of COVID-19: a direct comparison of a lateral flow device to nucleic acid amplification based tests
por: Kahn, Maria, et al.
Publicado: (2021)

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

Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
por: Nafisah, Saad I., et al.
Publicado: (2022)

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
por: Seyyed-Kalantari, Laleh, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gd4d0jmhqo4se46ti5h6ol37u8