Brain Matters: Exploring Bias in AI for Neuroimaging Research

Sophie A. Martin,Francesca Biondo,James H. Cole, Beatrice Taylor

CLINICAL IMAGE-BASED PROCEDURES, FAIRNESS OF AI IN MEDICAL IMAGING, AND ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING, CLIP 2023, FAIMI 2023, EPIMI 2023（2023）

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Abstract

Developing fair and unbiased models is important for good scientific practice and clinical utility. This paper delves into the specific biases associated with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equitable insights into neuroimaging research.

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Key words

Ethics,Fairness,Neuroimaging,Machine Learning

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