Human-centered explainability for life sciences, healthcare, and medical informatics

Human-centered explainability for life sciences, healthcare, and medical informatics

Summary: Rapid advances in artificial intelligence (AI) and availability of biological, medical, and healthcare data have enabled the development of a wide variety of models. Significant success has been achieved in a wide range of fields, such as genomics, protein folding, disease diagnosis, imagin...

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Bibliographic Details
Main Authors: Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Patterns
Subjects:
DSML5: Mainstream: Data science output is well understood and (nearly) universally adopted
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389922000782

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