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pro vyhledávání: '"Eyigoz, Elif K."'
Autor:
Chari, Shruthi, Acharya, Prasant, Gruen, Daniel M., Zhang, Olivia, Eyigoz, Elif K., Ghalwash, Mohamed, Seneviratne, Oshani, Saiz, Fernando Suarez, Meyer, Pablo, Chakraborty, Prithwish, McGuinness, Deborah L.
Publikováno v:
Artificial Intelligence in Medicine; Vol. 137, Pg: 102498, 2023
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by contextual explanations that let the practitioner connect system inferences to their context of use. However, their importance in improving mode
Externí odkaz:
http://arxiv.org/abs/2302.05752
Autor:
Chari, Shruthi, Chakraborty, Prithwish, Ghalwash, Mohamed, Seneviratne, Oshani, Eyigoz, Elif K., Gruen, Daniel M., Saiz, Fernando Suarez, Chen, Ching-Hua, Rojas, Pablo Meyer, McGuinness, Deborah L.
Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interactions indicate that medical experts can use AI systems with greater tr
Externí odkaz:
http://arxiv.org/abs/2107.02359