The role of artificial intelligence in the prediction, identification, diagnosis and treatment of perinatal depression and anxiety among women in LMICs: a systematic review protocol.

Journal: BMJ open
PMID: 40288799

Abstract

INTRODUCTION: Perinatal depression and anxiety (PDA) is associated with a high risk of maternal mortality. Existing data shows that 95% of maternal mortality in low- and middle-income countries (LMICs) is due to resource constraints and negligence in addressing perinatal mental health (PMH). Research conducted in more developed countries has demonstrated the potential of artificial intelligence (AI) to assist in predicting, identifying, diagnosing and treating PDA. However, there is limited knowledge regarding the utilisation of AI in LMICs where PDA disproportionately affects women. Therefore, this study aims to investigate the role of AI in predicting, identifying, diagnosing and treating PDA among pregnant women and mothers in LMICs.

Authors

  • Uchechi Shirley Anaduaka
    School of Public Health, University of Alberta, Edmonton, Alberta, Canada.
  • Ayomide Oluwaseyi Oladosu
    School of Graduate Studies, Lingnan University, Hong Kong, Hong Kong ayomideoladosu@ln.edu.hk.
  • Samantha Katsande
    Action on Preeclampsia, Ghana, Accra, Ghana.
  • Clinton Sekyere Frempong
    Department of Population and Behavioural Sciences, School of Public Health, University of Health and Allied Sciences, Ho, Ghana.
  • Success Awuku-Amador
    Digitalized for Jobs (D4J), GEA/GIZ, Accra, Ghana.

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