Fostering transparent medical image AI via an image-text foundation model grounded in medical literature

Building trustworthy and transparent image-based medical AI systems requires the ability to interrogate data and models at all stages of the development pipeline: from training models to post-deployment monitoring. Ideally, the data and associated AI systems could be described using terms already fa...

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Detalles Bibliográficos
Autores principales: Kim, Chanwoo, Gadgil, Soham U., DeGrave, Alex J., Cai, Zhuo Ran, Daneshjou, Roxana, Lee, Su-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312868/
https://www.ncbi.nlm.nih.gov/pubmed/37398017
http://dx.doi.org/10.1101/2023.06.07.23291119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312868/
https://www.ncbi.nlm.nih.gov/pubmed/37398017
http://dx.doi.org/10.1101/2023.06.07.23291119

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