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Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and
Lin Foo1, Mahesh Choolani2,3, Aris Papageorghiou4
1Department of Obstetrics & Gynaecology, National University Hospital, Singapore.
Summary
Artificial intelligence (AI) in maternity care enhances diagnostics and supports clinicians. AI-powered FemTech innovations promise personalized, accessible pregnancy care, improving outcomes for women globally.
Area of Science:
- Maternal Health Technology
- Artificial Intelligence in Healthcare
- Digital Obstetrics
Background:
- Maternity care faces challenges including disparities and workforce strain.
- Artificial intelligence (AI) and women's health innovations (FemTech) offer transformative potential.
- Strategic implementation of AI is crucial for advancing pregnancy care.
Purpose of the Study:
- To explore AI's role in transforming pregnancy care.
- To identify key domains where AI can drive change in maternity services.
- To address disparities and enhance diagnostic precision and workforce support.
Main Methods:
- Review of AI applications in prenatal, preconception, and postpartum care.
- Analysis of AI's impact on care delivery locations, personalization, and workforce augmentation.
- Examination of economic, geopolitical, and ethical factors influencing AI adoption.
Main Results:
- AI can extend prenatal monitoring via decentralized systems and IoMT devices, improving access.
- Predictive and reinforcement learning enable personalized, adaptive reproductive healthcare.
- AI tools can support patient engagement, clinical decisions, and ultrasound automation, augmenting the maternity workforce.
Conclusions:
- Equitable AI integration requires explainable AI, transparent validation, and robust governance.
- AI should complement, not replace, human expertise in maternity care.
- AI-powered FemTech can enhance empathy and clinical judgment in maternal healthcare.
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