Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

Machine learning is expected to fuel significant improvements in medical care. To ensure that fundamental principles such as beneficence, respect for human autonomy, prevention of harm, justice, privacy, and transparency are respected, medical machine learning systems must be developed responsibly....

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Bibliographic Details
Main Authors: Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Algorithmic fairness
ethical machine learning
explainability
medical device regulation
medical machine learning
privacy
Online Access:https://ieeexplore.ieee.org/document/9783196/

Internet

https://ieeexplore.ieee.org/document/9783196/

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