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Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges
8
Zitationen
6
Autoren
2025
Jahr
Abstract
To effectively mitigate bias, we assert the need to implement additional measures such as rigorous study design; appropriate statistical analysis; transparent reporting; and diverse research representation. Furthermore, we strongly recommend the integration of uncertainty measures during model deployment to ensure the utmost fairness and inclusivity. These comprehensive recommendations aim to minimize both bias and noise, thereby improving the performance of future medical decision support systems.
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