Among the many challenges mothers undergo after childbirth, postpartum depression ( ppd) is a severe condition that significantly impacts their mental and physical well-being. Consequently, the rapid detection of ppd and their associated risk factors is critical for in-time assessment and intervention through specialized prevention procedures. Accordingly, this work addresses the need to help practitioners make decisions with the latest technological advancements to enable real-time screening and treatment recommendations. Mainly, our work contributes to an intelligent ppd screening system that combines Natural Language Processing, Machine Learning ( ml), and Large Language Models ( llm s) towards an affordable, real-time, and non-invasive free speech analysis. Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of llm s with interpretable ml models ( i.e., tree-based algorithms) using feature importance and natural language. The results obtained are 90 % on ppd detection for all evaluation metrics, outperforming the competing solutions in the literature. Ultimately, our solution contributes to the rapid detection of ppd and their associated risk factors, critical for in-time and proper assessment and intervention. Introduction Depression is a global public health concern that affects more than 150 million people, being more prevalent in women (Labaka et al., 2018; Moreira et al., 2019). Among the many challenges mothers undergo after childbirth, postpartum depression ( ppd) is a severe condition that usually requires medical intervention (Falana & Carrington, 2019). Mainly, ppd is a common non-psychotic mental disorder during the first year after childbirth that can lead to severe complications in the women's health (Abadiga, 2019). Current data indicates that between 10 % to 15 % of mothers worldwide are affected with ppd yearly (Fatima et al., 2019; Liu et al., 2023). Moreover, only 20% of the target population is diagnosed or even treated promptly (Mazumder & Baruah, 2021).

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Fox News medical contributor Marc Siegel joined'Fox News @ Night' to discuss the latest on a New York shark attack, the FDA's approval of a pill for postpartum depression and an Indiana mother who died from drinking too much water. About one in every eight women experiences symptoms of postpartum depression, also known as perinatal mood and anxiety disorders (PMADs), per CDC data -- and with a national shortage of mental health providers, many may find it difficult to get care. Researchers at the University of Texas are looking to bridge that gap by using artificial intelligence, according to a report from Kris 6 News in Texas. In partnership with the nonprofit organization Postpartum Support International, the researchers are testing a new AI chatbot that will be available to women through a free app. WHAT IS ARTIFICIAL INTELLIGENCE (AI)?