Application of Artificial Intelligence in Fetal Medicine

Dear Colleagues,

Artificial Intelligence (AI) is rapidly transforming the field of fetal medicine, offering unprecedented opportunities to enhance diagnosis, risk stratification, and clinical decision-making. Advanced machine learning and deep learning algorithms are increasingly applied to ultrasound and magnetic resonance imaging (MRI) for automated image acquisition, segmentation, and interpretation, enabling earlier and more accurate detection of structural and functional anomalies. Predictive analytics based on large datasets and electronic health records are fostering the development of personalized models for prenatal risk assessment, growth monitoring, and outcome prediction. Furthermore, natural language processing and big data integration are supporting clinical research and real-time decision support in complex scenarios. This Special Issue welcomes original research articles, reviews, and technical notes that address the development, validation, and clinical translation of AI applications in fetal medicine. Topics of interest include novel AI models, explainable AI, integration of multimodal data, ethical and regulatory aspects, and the implementation of AI-driven tools in clinical practice to improve maternal-fetal outcomes.

Dr. Giorgio Pagani
Guest Editor

Dr. Anna Fichera
Dr. Valentina Stagnati
Co-Guest Editors

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