Cargando…

Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Detalles Bibliográficos
Autores principales:	Hwang, Eui Jin, Goo, Jin Mo, Yoon, Soon Ho, Beck, Kyongmin Sarah, Seo, Joon Beom, Choi, Byoung Wook, Chung, Myung Jin, Park, Chang Min, Jin, Kwang Nam, Lee, Sang Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2021
Materias:	Editorial
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546139/ https://www.ncbi.nlm.nih.gov/pubmed/34564966 http://dx.doi.org/10.3348/kjr.2021.0544

Ejemplares similares

Practice Pattern of Transthoracic Needle Biopsy: 2016 Survey in the Members of Korean Society of Thoracic Radiology
por: Jo, Yeseul, et al.
Publicado: (2017)

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study
por: Ahn, Su Yeon, et al.
Publicado: (2018)

Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm
por: Choi, Ye Ra, et al.
Publicado: (2023)

Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges
por: Hwang, Eui Jin, et al.
Publicado: (2020)

Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography
por: Chae, Kum Ju, et al.
Publicado: (2018)

Clinical image quality evaluation for panoramic radiography in Korean dental clinics
por: Choi, Bo-Ram, et al.
Publicado: (2012)

Erratum: Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography
por: Chae, Kum Ju, et al.
Publicado: (2018)

Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet)
por: Lee, Dong Keon, et al.
Publicado: (2022)

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
por: Hwang, Eui Jin, et al.
Publicado: (2019)

COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system
por: Hwang, Eui Jin, et al.
Publicado: (2021)

2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology
por: Yoon, Soon Ho, et al.
Publicado: (2021)

Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
por: Kim, Yisak, et al.
Publicado: (2021)

Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic
por: Hong, Wonju, et al.
Publicado: (2023)

Author Correction: Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet)
por: Lee, Dong Keon, et al.
Publicado: (2023)

Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study
por: Jin, Kwang Nam, et al.
Publicado: (2022)

Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19
por: Hwang, Eui Jin, et al.
Publicado: (2020)

Oesophageal coins invisible on chest radiography: a case report
por: Takahashi, Jin, et al.
Publicado: (2017)

Survey of Thoracic CT Protocols and Technical Parameters in Korean Hospitals: Changes before and after Establishment of Thoracic CT Guideline by Korean Society of Thoracic Radiology in 2008
por: Kang, Ji-Won, et al.
Publicado: (2016)

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

Are Lung Imaging Reporting and Data System Categories Clear to Radiologists? A Survey of the Korean Society of Thoracic Radiology Members on Ten Difficult-to-Classify Scenarios
por: Han, Dae Hee, et al.
Publicado: (2017)

Radiological Signs of Latent Tuberculosis on Chest Radiography: A Systematic Review and Meta-Analysis
por: Uzorka, Jonathan W, et al.
Publicado: (2019)

Image quality in chest radiography
por: International Commission on Radiation Units and Measurements. Bethesda
Publicado: (2003)

The Radiography of the Chest. Vol. II
Publicado: (1928)

Evaluation of chest radiography and low-dose computed tomography as valuable screening tools for thoracic diseases
por: Kasuga, Ikuma, et al.
Publicado: (2022)

The Effectiveness of Embolotherapy for Treatment of Hemoptysis in Patients with Varying Severity of Tuberculosis by Assessment of Chest Radiography
por: Kwon, Woocheol, et al.
Publicado: (2006)

Dark-Field Chest Radiography Outperforms Conventional Chest Radiography for the Diagnosis and Staging of Pulmonary Emphysema
por: Urban, Theresa, et al.
Publicado: (2023)

Asian Oceanian Radiology Forum 2018: International Education of Radiology in Asian Oceanian Countries
por: Beck, Kyongmin Sarah, et al.
Publicado: (2020)

Early Radiologic Diagnosis of Pulmonary Infection in Febrile Neutropenic Patients: A Comparison of Serial Chest Radiography and Single CT Chest
por: Burivong, Wanaporn, et al.
Publicado: (2021)

2014 Korean Guidelines for Appropriate Utilization of Cardiovascular Magnetic Resonance Imaging: A Joint Report of the Korean Society of Cardiology and the Korean Society of Radiology
por: Yoon, Yeonyee E., et al.
Publicado: (2014)

2014 Korean Guidelines for Appropriate Utilization of Cardiovascular Magnetic Resonance Imaging: A Joint Report of the Korean Society of Cardiology and the Korean Society of Radiology
por: Yoon, Yeonyee E., et al.
Publicado: (2014)

An evaluation of automated chest radiography reading software for tuberculosis screening among public- and private-sector patients
por: Rahman, Md Toufiq, et al.
Publicado: (2017)

Subcutaneous cysticercosis identified in chest radiography
por: Wiwanitkit, Viroj
Publicado: (2012)

Persistent hypokalaemia and abnormal chest radiography
por: Raghunath, Sarika, et al.
Publicado: (2016)

An asymptomatic man with pathological chest radiography
por: De Vega Sanchez, Blanca, et al.
Publicado: (2017)

Phase-contrast virtual chest radiography
por: Häggmark, Ilian, et al.
Publicado: (2022)

Computer-Aided Detection of Malignant Lung Nodules on Chest Radiographs: Effect on Observers' Performance
por: Lee, Kyung Hee, et al.
Publicado: (2012)

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
por: Hwang, Eui Jin, et al.
Publicado: (2019)

How to create Radiology Papers and Presentations in Windows™ with Open-Source Software
por: Faccioli, Niccolò, et al.
Publicado: (2008)

Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography
por: Song, Inyoung, et al.
Publicado: (2016)

Publication Rates for Abstracts Presented by Korean Investigators at Major Radiology Meetings
por: Ha, Tae Ho, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_dgqu1tn5a0o04cbe8jf21os7uh