In order to realize the potential of mental health AI applications to deliver improved care, a multipronged approach is needed, including representative AI datasets, research practices that reflect and anticipate potential sources of bias, stakeholder engagement, and equitable design practices.
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Acknowledgements
This work was supported by NIH/NHGRI Grant R01HG014227.
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Nature Computational Science thanks Olusola Ajilore, Jony Sheynin, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Martinez-Martin, N. Developing mental health AI tools that improve care across different groups and contexts. Nat Comput Sci 5, 839–840 (2025). https://doi.org/10.1038/s43588-025-00882-x
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DOI: https://doi.org/10.1038/s43588-025-00882-x
