Artificial intelligence, explainability, and the scientific method: A proof-of-concept study on novel retinal biomarker discovery

We present a structured approach to combine explainability of artificial intelligence (AI) with the scientific method for scientific discovery. We demonstrate the utility of this approach in a proof-of-concept study where we uncover biomarkers from a convolutional neural network (CNN) model trained...

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Detalles Bibliográficos
Autores principales: Delavari, Parsa, Ozturan, Gulcenur, Yuan, Lei, Yilmaz, Özgür, Oruc, Ipek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Biological, Health, and Medical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517742/
https://www.ncbi.nlm.nih.gov/pubmed/37746328
http://dx.doi.org/10.1093/pnasnexus/pgad290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517742/
https://www.ncbi.nlm.nih.gov/pubmed/37746328
http://dx.doi.org/10.1093/pnasnexus/pgad290

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