Abstract
Artificial intelligence (AI) has emerged as a revolutionary tool in various healthcare domains, including smoking cessation among pregnant women. Smoking during pregnancy is a significant public health concern, linked to adverse maternal and fetal outcomes. Traditional cessation methods have had limited success, necessitating innovative approaches. AI offers personalized interventions, predictive analytics, and real-time support, enhancing the effectiveness of smoking cessation programs. This editorial explores the potential of AI in transforming smoking cessation efforts for pregnant women, highlighting its benefits, challenges, and future prospects. By integrating AI into healthcare strategies, we can improve maternal and fetal health outcomes and contribute to the broader public health goal of reducing smoking rates among expectant mothers.