AI revolutionises maternal healthcare by improving early detection, monitoring, supporting clinical decision-making, and reducing diagnostic errors. One of the most notable advancements is AI’s capacity to predict complications such as preeclampsia, gestational diabetes, and preterm labour [16].
By analysing large datasets, AI algorithms can identify patterns and risk factors indicative of potential complications, enabling healthcare providers to intervene early. Additionally, AI-powered risk stratification tools categorize expectant mothers according to their risk levels, allowing for the development of personalized care plans tailored to individual needs [17].
In prenatal and postnatal monitoring, AI-driven wearable devices and remote monitoring technologies facilitate continuous tracking of maternal and foetal health parameters. These devices collect real-time data, which AI-based platforms analyse to issue alerts for deviations from normal health indicators.
This technology improves the quality of care and extends maternal healthcare services to remote and underserved areas, ensuring that expectant mothers receive timely support regardless of their location [18].
AI also plays a vital role in healthcare providers’ clinical decision-support systems. By enhancing clinical decision-making during pregnancy, labour, and postpartum care, AI tools assist clinicians with informed choices based on comprehensive data analysis. AI can create personalized care plans for at-risk pregnancies that address the specific health profiles of mothers and their babies, ultimately improving outcomes and reducing the risk of complications [19].
Moreover, AI is transforming the reduction of diagnostic errors through advanced image analysis in ultrasound and MRI. AI algorithms can accurately analyze medical images, detecting abnormalities the human eye may overlook. This capability aids in the early detection of feotal complications and supports healthcare providers in making more informed decisions, leading to improved patient outcomes [20].
Despite the immense potential of AI in maternal healthcare, several challenges persist. Data quality, ethical considerations, regulatory complexities, and potential algorithmic bias must be addressed to ensure AI’s safe and effective integration into clinical practice.
Building trust among healthcare professionals and expectant mothers is crucial for successfully implementing these technologies [21]. The future of AI in maternal healthcare is promising, with advancements expected in personalized and adaptive healthcare solutions [16].
Integrating AI with wearable devices and home monitoring solutions is anticipated to enhance the precision and scope of fetal anomaly detection, leading to better health outcomes for mothers and their babies.
As technology evolves, it is essential to fully leverage its potential while addressing challenges to ensure that all women receive the quality care they deserve during pregnancy and beyond [16]. AI-driven innovations transforming maternal health and applications and impact are detailed in Table 1.
Culled from Mapari S A, Shrivastava D, Dave A, et al. (September 16, 2024) Revolutionizing Maternal Health: The Role of Artificial Intelligence in Enhancing Care and Accessibility. Cureus 16(9): e69555. doi:10.7759/cureus.69555