Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort

OBJECTIVE: This study aimed to investigate the feasibility of using artificial intelligence (AI) to identify normal chest radiography (CXR) from the worklist of radiologists in a health-screening environment. MATERIALS AND METHODS: This retrospective simulation study was conducted using the CXRs of...

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Detalles Bibliográficos
Autores principales: Yoo, Hyunsuk, Kim, Eun Young, Kim, Hyungjin, Choi, Ye Ra, Kim, Moon Young, Hwang, Sung Ho, Kim, Young Joong, Cho, Young Jun, Jin, Kwang Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523233/
https://www.ncbi.nlm.nih.gov/pubmed/36175002
http://dx.doi.org/10.3348/kjr.2022.0189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523233/
https://www.ncbi.nlm.nih.gov/pubmed/36175002
http://dx.doi.org/10.3348/kjr.2022.0189

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