AI in Maternal Fetal Medicine and Perinatal Management

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Obstetrics & Gynecology".

Deadline for manuscript submissions: 5 December 2025 | Viewed by 51

Special Issue Editor


E-Mail Website
Guest Editor
Department of Obstetrics and Gynecology, Mayanei Hayeshua Medical Center, Bnei Brak 51544, Israel
Interests: preeclampsia; growth restriction; preterm birth; cesarean section; pregnancy complications; twins
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Maternal Fetal Medicine (MFM) is a specialized branch of obstetrics that focuses on the management of high-risk pregnancies and the care of both the mother and the fetus. Perinatal management refers to the overall care and support provided to pregnant women and their unborn babies, including prenatal care, monitoring the health and development of the fetus, managing complications and risks, and making decisions regarding the timing and mode of delivery. Artificial Intelligence (AI) is rapidly progressing in medicine, with applications ranging from imaging interpretation to decision support and much more.

This Special Issue, titled “AI in Maternal Fetal Medicine and Perinatal Management”, covers the implementation and use of various AI technologies as applied to a wide range of topics in perinatology and obstetrics; such topics include prediction models of adverse outcomes; applications related to ultrasound and other imaging techniques in maternal fetal medicine; hypertensive disorders; diabetes and other metabolic disorders; multiple pregnancies; fetal growth abnormalities or intrauterine growth restriction; preterm labor; and fetal congenital anomalies and genetic disorders.

Overall, AI is equipped to assist in Maternal Fetal Medicine and perinatal management to ensure the best possible care for high-risk pregnancies, promoting the health and well-being of both the mother and the fetus. We look forward to your contributions and submissions to this Special Issue and their role in supporting the ongoing advancement of AI in Maternal Fetal Medicine and perinatal management.

Prof. Dr. Ariel Many
Guest Editor

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. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly 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 2600 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

  • maternal fetal medicine
  • high-risk pregnancy
  • perinatal management
  • artificial intelligence (AI) in obstetrics
  • fetal growth abnormalities
  • preterm labor prediction

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop