Maternal morbidity in the United States remains alarmingly high, despite rapid medical advancements. The disparities in maternal outcomes – particularly across racial, socioeconomic, and geographic lines – are stark and persistent. This book investigates how artificial intelligence (AI) might help reduce these disparities, offering a critical examination of both its potential and its limitations...
Read moreMaternal morbidity in the United States remains alarmingly high, despite rapid medical advancements. The disparities in maternal outcomes – particularly across racial, socioeconomic, and geographic lines – are stark and persistent. This book investigates how artificial intelligence (AI) might help reduce these disparities, offering a critical examination of both its potential and its limitations within the evolving maternal health landscape.
This book engages with complex questions about how AI can complement or supplement the work of health care providers. It draws on the latest data and research to explore AI’s role across a range of med tech applications, including chatbots, electronic medical records, virtual coaching, and social media. Through evidence-based analysis, it considers how these technologies might prevent maternal morbidity and mortality and promote health equity. This book also takes a carefully balanced approach, acknowledging the risks of AI – such as algorithmic bias – and evaluates when and how AI is most or least effective in meeting patient needs.
This is an essential resource for students, researchers, and professionals working in maternal health and related fields. It offers a timely and nuanced perspective on the intersection of technology and care.
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