A new Special Article published in the International Journal of Gynaecology & Obstetrics (IJGO) explores how artificial intelligence (AI) could transform maternal nutrition care by moving beyond one-size-fits-all supplementation toward more responsive, risk-stratified approaches.
Developed by authors working with the FIGO Committee on Technology and Women’s Health, the paper addresses the ongoing global burden of maternal undernutrition and micronutrient deficiencies. Although multiple micronutrient supplementation (MMS) has shown clear benefits compared with iron–folic acid alone, current strategies often overlook differences in individual nutritional status, health conditions, and broader contextual factors.
The article outlines a forward-looking framework in which AI supports personalised MMS under clinical oversight. Central to this model is a “nutritional digital twin”—a virtual representation of a woman’s nutritional and metabolic profile that integrates clinical records and digital health data to simulate supplementation scenarios and guide decision-making. The authors also highlight how mobile health platforms and wearable technologies could strengthen data collection, engagement and adherence, including in low- and middle-income settings.
This paper outlines a forward-looking framework for harnessing artificial intelligence to personalise multiple micronutrient supplementation in pregnancy. By integrating clinical data, digital health tools and predictive modelling, we propose a nutritional digital twin approach that moves antenatal care beyond one-size-fits-all supplementation toward precision maternal nutrition. If implemented ethically and equitably, AI-enhanced strategies have the potential to improve maternal and neonatal outcomes across diverse global settings. – Dr Gabriel Davis Jones, lead-author
The article emphasises that strong ethical governance, transparency, fairness, and clinician leadership must underpin any AI-enabled strategy. With appropriate safeguards and rigorous evaluation, AI-enhanced MMS could strengthen preconception and antenatal care, make better use of limited resources, and improve maternal and neonatal outcomes worldwide.
