Beyond feature importance: Validating true clinical associations in AI-driven psychiatric research through consistency and dose-response relationships.
- DOI
- 10.1016/j.ajp.2026.104972
- Published
- 2026 May
- Container
- Asian journal of psychiatry
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.ajp.2026.104972,
title = {Beyond feature importance: Validating true clinical associations in AI-driven psychiatric research through consistency and dose-response relationships.},
author = {Takefuji Y},
year = {2026},
journal = {Asian journal of psychiatry},
doi = {10.1016/j.ajp.2026.104972},
url = {https://doi.org/10.1016/j.ajp.2026.104972}
}RIS
TY - JOUR TI - Beyond feature importance: Validating true clinical associations in AI-driven psychiatric research through consistency and dose-response relationships. AU - Takefuji Y PY - 2026 JO - Asian journal of psychiatry DO - 10.1016/j.ajp.2026.104972 UR - https://doi.org/10.1016/j.ajp.2026.104972 ER -
APA
Y, T. (2026). Beyond feature importance: Validating true clinical associations in AI-driven psychiatric research through consistency and dose-response relationships.. Asian journal of psychiatry. https://doi.org/10.1016/j.ajp.2026.104972
Source records
- pubmed · retrieved 2026-09-26T08:03:35.055Z