Diagnostic study on clinical feasibility of an AI-based diagnostic system as a second reader on mobile CT images: a preliminary result

BACKGROUND: Artificial intelligence (AI) has breathed new life into the lung nodules detection and diagnosis. However, whether the output information from AI will translate into benefits for clinical workflow or patient outcomes in a real-world setting remains unknown. This study was to demonstrate...

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Detalles Bibliográficos
Autores principales: Diao, Kaiyue, Chen, Yuntian, Liu, Ying, Chen, Bo-Jiang, Li, Wan-Jiang, Zhang, Lin, Qu, Ya-Li, Zhang, Tong, Zhang, Yun, Wu, Min, Li, Kang, Song, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279799/
https://www.ncbi.nlm.nih.gov/pubmed/35845492
http://dx.doi.org/10.21037/atm-22-2157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279799/
https://www.ncbi.nlm.nih.gov/pubmed/35845492
http://dx.doi.org/10.21037/atm-22-2157

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