Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study

Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study

Abstract Background Interpretation of chest radiographs (CRs) by emergency department (ED) physicians is inferior to that by radiologists. Recent studies have investigated the effect of deep learning-based assistive technology on CR interpretation (DLCR), although its relevance to ED physicians rema...

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Autores principales: Ji Hoon Kim, Sang Gil Han, Ara Cho, Hye Jung Shin, Song-Ee Baek
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Chest radiograph
Emergency department
Deep learning-based assistive technology
Decision-making
Computer applications to medicine. Medical informatics
R858-859.7
Acceso en línea:https://doaj.org/article/708f74a503d14da78185fd2464308dc7
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https://doaj.org/article/708f74a503d14da78185fd2464308dc7

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