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Deep learning characterizes depression and suicidal ideation in young adults from eye movements

Crossref DOI link: https://doi.org/10.1038/s41746-026-02550-4

Published Online: 2026-03-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Avramidis, Kleanthis

Jeong, Woojae

Kommineni, Aditya

Kadiri, Sudarsana R.

Ma, Marcus

McDaniel, Colin

Hughes, Myzelle

McGee, Thomas

Kaiser, Elsi

Byrd, Dani

Habibi, Assal

Cahn, B. Rael

Blank, Idan A.

Lerman, Kristina

Medani, Takfarinas

Leahy, Richard M.

Narayanan, Shrikanth
Funding

Funding for this research was provided by:

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)

Defense Advanced Research Projects Agency (N660012324006)
License Information

Text and Data Mining valid from 2026-03-28

Accepted Manuscript valid from 2026-03-28
More Information

Article History

Received: 16 May 2025

Accepted: 5 March 2026

First Online: 28 March 2026

Competing interests

: The authors declare no competing interests.

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