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
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...
Saved in:
| Main Authors: | Uchechi Shirley Anaduaka, Ayomide Oluwaseyi Oladosu, Samantha Katsande, Clinton Sekyere Frempong, Success Awuku-Amador |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2025-04-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/4/e091531.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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
by: Uchechi Shirley Anaduaka, et al.
Published: (2025-04-01) -
Are Wearables Effective in LMICs?
by: Malika Sachdeva, et al.
Published: (2025-05-01) -
Perinatal depressive and anxiety symptoms are associated with gut microbiota in pregnant women with overweight and obesity
by: Janina Hieta, et al.
Published: (2025-08-01) -
Prevalence of depression and anxiety among working women in Saudi Arabia: psychosocial and perinatal correlates
by: Deemah AlAteeq, et al.
Published: (2025-05-01) -
Humanitarian Urology in LMIC: Lessons Learned
by: Arthur L. Burnett
Published: (2024-12-01)