Engagement of Pregnant Women and Mothers over WhatsApp

Kaur, Jasmeet; Wani, Asra Sakeen; Singh, Pushpendra

doi:10.1145/3311957.3359481

Cited by 12 publications

(1 citation statement)

References 6 publications

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“…As discussed above, limited access to proper healthcare infrastructure and professionals, along with other societal and economic barriers, put restrictions on providing holistic care to pregnant women and their children in resource-constrained settings. Digital chatbots and support groups can aid in maternal and neonatal health monitoring as well as management (105,106). One key challenge here lies in handling the cultural diversity of the users pertaining to the language they are comfortable conversing in.…”

Section: Open Problems For Researchmentioning

confidence: 99%

On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review

Khan

Khurshid²,

Vatsa³

et al. 2022

Front. Public Health

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A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neonatal morbidity due to various non-communicable and nutrition related diseases is a serious public health issue that leads to several deaths every year. These diseases affecting either mother or child can be hospital-acquired, contracted during pregnancy or delivery, postpartum and even during child growth and development. Many of these conditions are challenging to detect at their early stages, which puts the patient at risk of developing severe conditions over time. Therefore, there is a need for early screening, detection and diagnosis, which could reduce maternal and neonatal mortality. With the advent of Artificial Intelligence (AI), digital technologies have emerged as practical assistive tools in different healthcare sectors but are still in their nascent stages when applied to maternal and neonatal health. This review article presents an in-depth examination of digital solutions proposed for maternal and neonatal healthcare in low resource settings and discusses the open problems as well as future research directions.

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Section: Open Problems For Researchmentioning

confidence: 99%