Frances-Catherine Quevenco, PhD, Women’s Brain Project, speaks on the potential of artificial intelligence (AI) to revolutionize data analysis in medical research, but also notes the caution required in training algorithms. AI has shown value in sex- and gender-specific research, efficiently identifying patterns and differences within large datasets that traditional analyses may not detect. For example, a recent study by the Women’s Brain Project in association with Altoida Inc. used machine learning to identify sex differences in neurocognitive performance signatures based on digital biomarker data. Additionally, with the use of AI there is the potential to circumvent sex and gender biases. However, if the algorithm is insufficiently trained, it can inherit these biases and amplify existing inequalities. This interview took place at the AD/PD™ 2023 congress in Gothenburg, Sweden.
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