Can AI Bridge or Widen Maternal Health Inequities?

Artificial intelligence (AI) in maternal healthcare presents both opportunities and risks. While AI can enhance risk detection, personalized care, and maternal health education, it also risks reinforcing disparities through biased algorithms, misinformation, and data colonialism. AI models, often developed in high-income settings, may misdiagnose conditions, and exacerbate inequities in resource-limited regions. Ethical deployment, diverse datasets, and robust governance are essential to ensure AI bridges—rather than widens—maternal health gaps. This commentary underscores the need for equitable AI integration to maximize benefits while mitigating harm.