 Corresponding author: Pradeep Kumar Panda Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0. Transforming maternal healthcare: Harnessing the power of artificial intelligence for improved outcomes and access Pradeep Kumar Panda * and Rahul Sharma School of Public Health, Poornima University, Jaipur, Rajasthan, India. World Journal of Advanced Research and Reviews, 2024, 23(01), 662–666 Publication history: Received on 25 May 2024; revised on 03 July 2024; accepted on 05 July 2024 Article DOI: https://doi.org/10.30574/wjarr.2024.23.1.2005 Abstract Artificial intelligence (AI) signifies advanced computer systems adept at tasks traditionally within the purview of human intelligence. This paper explores the transformative landscape of AI applications in healthcare, with a specific focus on risk assessment, predictive modeling, and remote monitoring to proactively address high-risk pregnancies. Aligned with Sustainable Development Goal (SDG) 3.1, our investigation underscores AI's pivotal role in advancing maternal outcomes, encapsulating recent research across domains such as complication prediction, healthcare access enhancement, clinical decision support systems, and fertility treatments. AI-driven models demonstrate efficacy in predicting preterm birth, gestational diabetes, preeclampsia, and other adverse outcomes through meticulous analysis of maternal health data, enabling timely interventions. In underserved regions, AI acts as a catalyst, enhancing accessibility to vital services like prenatal ultrasounds and health education through telemedicine platforms. The integration of AI decision support systems empowers healthcare providers with real-time, patient-specific assessments and recommendations derived from population data analysis. Within fertility medicine, AI proves instrumental in refining genetic screening, embryo viability selection, and optimizing in vitro fertilization success rates. Despite these advancements, challenges persist in regulatory policy, privacy safeguards, accuracy, and seamless integration into clinical workflows, necessitating prudent consideration before widespread implementation. So, ethically applied AI emerges as a transformative force, offering substantial opportunities to advance maternal healthcare significantly. By averting complications, broadening access, informing sound decisions, and optimizing fertility outcomes, AI stands as a promising ally. This comprehensive review encapsulates pivotal applications of this burgeoning technology, outlining potential directions for future research, thereby contributing to the realization of SDG 3.1. Keywords: Artificial Intelligence; Maternal Health; Pregnancy; Prenatal Care; Postpartum Care; Predictive Analytics 1. Introduction Artificial intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making (Topol, 2019). In recent years, AI has shown immense promise in transforming healthcare through applications like medical imaging analysis, robotic surgery systems, virtual nursing assistants, and predictive analytics (Topol, 2019). The field of maternal health is starting to adopt these advanced technologies as well with the goal of improving pregnancy outcomes and access to care. This review synthesizes current research on the applications of AI in maternal health, focusing on areas like prediction of pregnancy complications, improving access to care, decision support systems, and fertility treatment. 1.1. Prediction of Pregnancy Complications Several studies have explored using AI to analyze maternal health data to enable early prediction of complications. Caly et al. (2021) developed a machine learning model using pregnancy data that identified a subpopulation of newborns at