Cargando…

Novel Risks of Unfavorable Corticosteroid Response in Patients with Mild-to-Moderate COVID-19 Identified Using Artificial Intelligence-Assisted Analysis of Chest Radiographs

The prediction of corticosteroid responses in coronavirus disease 2019 (COVID-19) patients is crucial in clinical practice, and exploring the role of artificial intelligence (AI)-assisted analysis of chest radiographs (CXR) is warranted. This retrospective case–control study involving mild-to-modera...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Min Hyung, Shin, Hyun Joo, Kim, Jaewoong, Jo, Sunhee, Kim, Eun-Kyung, Park, Yoon Soo, Kyong, Taeyoung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532025/ https://www.ncbi.nlm.nih.gov/pubmed/37762792 http://dx.doi.org/10.3390/jcm12185852

Ejemplares similares

Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients
por: Shin, Hyun Joo, et al.
Publicado: (2023)

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

Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
por: Shin, Hyun Joo, 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)

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

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

Clinical outcomes and actual consequence of lung nodules incidentally detected on chest radiographs by artificial intelligence
por: Hwang, Shin Hye, 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)

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

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

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

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)

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

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)

Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort
por: Yoo, Hyunsuk, et al.
Publicado: (2022)

Methods of Visualizing the Results of an Artificial-Intelligence-Based Computer-Aided Detection System for Chest Radiographs: Effect on the Diagnostic Performance of Radiologists
por: Hong, Sungho, et al.
Publicado: (2023)

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

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

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

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
por: Kim, Chris K., et al.
Publicado: (2022)

Automatic detection of mesiodens on panoramic radiographs using artificial intelligence
por: Ha, Eun-Gyu, 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)

Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID-19 from Chest Radiographical Images: A Survey
por: Sinwar, Deepak, et al.
Publicado: (2022)

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial
por: Hwang, Eui Jin, et al.
Publicado: (2023)

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs
por: Li, Matthew D., et al.
Publicado: (2021)

Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
por: Chadaga, Krishnaraj, et al.
Publicado: (2023)

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

A review of chest radiographic patterns in mild to moderate novel corona virus disease 2019 at an urban hospital in Ghana
por: Asare-Boateng, Kwame, et al.
Publicado: (2020)

Predictive Variables for Sonographically Guided Corticosteroid Injection in Mild-to-Moderate Carpal Tunnel Syndrome
por: Chung, Seong Yun, et al.
Publicado: (2018)

Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
por: Padash, Sirwa, et al.
Publicado: (2022)

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs
por: Pai, Kai-Chih, et al.
Publicado: (2022)

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
por: Lee, Seungsoo, et al.
Publicado: (2022)

Artificial Intelligence Application in Assessment of Panoramic Radiographs
por: Zadrożny, Łukasz, et al.
Publicado: (2022)

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs
por: Zhu, Jocelyn, et al.
Publicado: (2020)

Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis
por: Nsengiyumva, Ntwali Placide, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_vics2prv74tflg0m6ke0rm3784