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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| 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 |