A recent study found that cultural practices may hinder the effectiveness of maternal health AI solutions in underserved communities.
Recent studies show that AI can help detect tumours during routine breast X-rays and colonoscopies, where AI software assists in scanning images. Technologies such as artificial intelligence can enhance the quality of healthcare, but a recent study has found that cultural practices may hinder the effectiveness of maternal health AI solutions. The research examined data from the DawaMom maternal health care app for expectant mothers in Zambia, South Africa and Zimbabwe.
“For AI to truly improve healthcare in underserved communities, it must reflect local realities. That means incorporating diverse datasets and traditional practices,” said researcher Min’enhle Ncube. South Africa’s maternal mortality rate has improved in recent years, with a reduction from 105 deaths per 100,000 live births in 2019 to 88 in 2020, according to the most recent statistics in 2022. But problems persist in countries like Zambia, where a newborn dies every 30 minutes and a stillbirth occurs every hour in certain regions, because of under-resourced medical facilities and a shortage of skilled healthcare workers. Maternal AI apps could help reduce these mortality rates by providing personalised healthcare guidance to expectant mothers. This includes home visits to gather critical data such as demographics, medical history and key health indicators. AI then processes this information to identify patient risks and enable early interventions for high-risk conditions. Despite the rapid response of AI-driven applications, many new mothers share the sentiments voiced in Ncube’s study, expressing concerns that cultural practices may be overlooke
Artificial Intelligence Maternal Health Cultural Practices Healthcare Under-Resourced Communities
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