Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology

The medical imaging community has embraced Machine Learning (ML) as evidenced by the rapid increase in the number of ML models being developed, but validating and deploying these models in the clinic remains a challenge. The engineering involved in integrating and assessing the efficacy of ML models...

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Detalles Bibliográficos
Autores principales: Hawkins, James R., Olson, Marram P., Harouni, Ahmed, Qin, Ming Melvin, Hess, Christopher P., Majumdar, Sharmila, Crane, Jason C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441783/
https://www.ncbi.nlm.nih.gov/pubmed/37603542
http://dx.doi.org/10.1371/journal.pdig.0000227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441783/
https://www.ncbi.nlm.nih.gov/pubmed/37603542
http://dx.doi.org/10.1371/journal.pdig.0000227

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