INSIGHTFUL: insight generation through clinical annotation, analysis and modelling of suicide-related factors towards understanding and lifesaving.
- DOI
- 10.1136/bmjdhai-2025-000019
- Published
- 2025
- Container
- BMJ digital health & AI
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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:10.1136/bmjdhai-2025-000019,
title = {INSIGHTFUL: insight generation through clinical annotation, analysis and modelling of suicide-related factors towards understanding and lifesaving.},
author = {Li Z and Vieira RM and Fu S and Hu Y and Wang W and Wen A and Lane SD and Selek S and Shahani LR and Xu H and Soares JC and Liu H and Huang M},
year = {2025},
journal = {BMJ digital health \& AI},
doi = {10.1136/bmjdhai-2025-000019},
url = {https://doi.org/10.1136/bmjdhai-2025-000019}
}RIS
TY - JOUR TI - INSIGHTFUL: insight generation through clinical annotation, analysis and modelling of suicide-related factors towards understanding and lifesaving. AU - Li Z AU - Vieira RM AU - Fu S AU - Hu Y AU - Wang W AU - Wen A AU - Lane SD AU - Selek S AU - Shahani LR AU - Xu H AU - Soares JC AU - Liu H AU - Huang M PY - 2025 JO - BMJ digital health & AI DO - 10.1136/bmjdhai-2025-000019 UR - https://doi.org/10.1136/bmjdhai-2025-000019 ER -
APA
Z, L., RM, V., S, F., Y, H., W, W., A, W., SD, L., S, S., LR, S., H, X., JC, S., H, L., & M, H. (2025). INSIGHTFUL: insight generation through clinical annotation, analysis and modelling of suicide-related factors towards understanding and lifesaving.. BMJ digital health & AI. https://doi.org/10.1136/bmjdhai-2025-000019
Source records
- pubmed · retrieved 2026-09-26T17:20:34.031Z
- europe-pmc · retrieved 2026-09-26T17:20:34.104Z