AI and Maternal Health

Transformations and Implications
1. Auflage 2026
ISBN: 978-1-032-95214-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 188 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 273 g

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 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.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Schindler-Ruwisch, Jennifer

Ruwisch, Wesley

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Pflege Hebammen, Geburtshilfe
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizin, Gesundheit: Sachbuch, Ratgeber
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Ethik

Inhaltsverzeichnis

1. The Evolution of AI and mHealth 2. Ask the Chatbot 3. Behind the Scenes, the Electronic Medical Record 4. Can AI Triage? 5. Med Tech and Big Data: The Role of AI 6. Virtual Coaches, Virtual Docs: AI and Telemedicine 7. AI Is Social: Online Information Seeking 8. Bias and Ethics in AI 9. Can We Trust AI? Prevention vs. Power 10. Wrapping It Up: AI in Maternal Health Currently

Über Autor(innen)

Jennifer Schindler-Ruwisch, DrPH, is currently an associate professor of public health. She is interested in technology that impacts health, like AI, and is especially passionate about maternal–child health. She is active in her community and loves reading and family game nights.

Wesley Ruwisch, MBA, is a software engineer with more than a decade of experience in tech. He enjoys music, basketball, and spending time with family.