Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience

BACKGROUND: To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists. METHODS: We enrolled 196 patents who had undergone both coronary computed tomography angiography (CCTA) and inva...

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Detalles Bibliográficos
Autores principales: Han, Xianjun, Luo, Nan, Xu, Lixue, Cao, Jiaxin, Guo, Ning, He, Yi, Hong, Min, Jia, Xibin, Wang, Zhenchang, Yang, Zhenghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851787/
https://www.ncbi.nlm.nih.gov/pubmed/35177029
http://dx.doi.org/10.1186/s12880-022-00756-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851787/
https://www.ncbi.nlm.nih.gov/pubmed/35177029
http://dx.doi.org/10.1186/s12880-022-00756-y

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