Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review.
- DOI
- 10.1136/bmjment-2024-301445
- Published
- 2025 Apr 15
- Container
- BMJ mental health
- Publisher
- Not recorded
- Open access
- yes
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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/bmjment-2024-301445,
title = {Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review.},
author = {Anaduaka US and Oladosu AO and Katsande S and Frempong CS and Awuku-Amador S},
year = {2025},
journal = {BMJ mental health},
doi = {10.1136/bmjment-2024-301445},
url = {https://doi.org/10.1136/bmjment-2024-301445}
}RIS
TY - JOUR TI - Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review. AU - Anaduaka US AU - Oladosu AO AU - Katsande S AU - Frempong CS AU - Awuku-Amador S PY - 2025 JO - BMJ mental health DO - 10.1136/bmjment-2024-301445 UR - https://doi.org/10.1136/bmjment-2024-301445 ER -
APA
US, A., AO, O., S, K., CS, F., & S, A. (2025). Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review.. BMJ mental health. https://doi.org/10.1136/bmjment-2024-301445
Source records
- pubmed · retrieved 2026-09-27T00:04:38.402Z