Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department

IMPORTANCE: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images. OBJECTIVE: To evaluate the accuracy and quality of AI–generated chest radiograph interpretations in the emerge...

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Detalles Bibliográficos
Autores principales: Huang, Jonathan, Neill, Luke, Wittbrodt, Matthew, Melnick, David, Klug, Matthew, Thompson, Michael, Bailitz, John, Loftus, Timothy, Malik, Sanjeev, Phull, Amit, Weston, Victoria, Heller, J. Alex, Etemadi, Mozziyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556963/
https://www.ncbi.nlm.nih.gov/pubmed/37796505
http://dx.doi.org/10.1001/jamanetworkopen.2023.36100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556963/
https://www.ncbi.nlm.nih.gov/pubmed/37796505
http://dx.doi.org/10.1001/jamanetworkopen.2023.36100

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