Artificial intelligence in perinatal mental health research: A scoping review

Stephen Wai Hang Kwok, Yuanpeng Zhang, Guanjin Wang

Abstract: Highlights•Utilized PRISMA guidelines to review existing AI applications in perinatal mental health from 2013 to 2023.•Identified the prevalent use of supervised machine learning techniques for feature selection and predicting relevant illnesses.•Found the emergence of hybrid AI applications like chatbots and voice assistants for support tools in perinatal mental health.•Discussed studies covering data sources, feature selection, techniques, evaluation metrics, andlimitations.•Outlined future directions for AI solutions to meet field needs and translate research into clinical settings.