Application of Artificial Intelligence in Fetal Medicine

A special issue of Reproductive Medicine (ISSN 2673-3897).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 50

Special Issue Editors


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Guest Editor
Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, ASST-Papa Giovanni XXIII, 24127 Bergamo, Italy
Interests: fetal medicine; obstetric delivery; fetal growth restriction; prenatal diagnosis; fetal development; gynaecological surgery; ultrasound imaging; doppler ultrasonography

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Co-Guest Editor
1. Division of Obstetrics and Gynecology, ASST Spedali Civili, 25121 Brescia, Italy
2. Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy
Interests: pregnancy; obstetrics; twin; preterm birth (PTB)

E-Mail Website
Co-Guest Editor
ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
Interests: gynecology and obstetrics

Special Issue Information

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Reproductive Medicine is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • machine learning
  • deep learning
  • fetal ultrasound
  • prenatal diagnosis
  • predictive modeling
  • image segmentation
  • decision support systems
  • big data in fetal medicine
  • explainable AI

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Published Papers

This special issue is now open for submission.
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