Innovations in maternal-fetal dermatology: A focus on artificial intelligence-driven diagnostics, global disparities, and transformative care.

Journal: Clinics in dermatology
Published Date:

Abstract

Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, and environmental changes, often complicating maternal and neonatal outcomes. Such changes can also impact the course of preexisting skin disease during gestation. There are persistent gaps in clinical research, including the underrepresentation of pregnant patients, limited therapeutic options, and health disparities, that continue to challenge optimal care. Recent advances in artificial intelligence offer promising opportunities for early diagnosis, enhanced risk assessment and drug safety, and expanded care access, particularly in underserved populations. Cultural, demographic, and genetic factors critically shape dermatologic presentations and outcomes, whereas inequities in data representation, algorithmic bias, and health care accessibility remain significant barriers. By integrating interdisciplinary innovations with culturally sensitive strategies, we propose a framework to optimize and globalize maternal-fetal dermatologic care.

Authors

  • Diala Ra'Ed Kamal Kakish
    School of Medicine, University of Debrecen, Debrecen, Hungary.
  • Sereen Abdel Nour
    School of Medicine, University of Debrecen, Debrecen, Hungary.
  • Raghad Abusalha
    School of Medicine, University of Jordan, Amman, Jordan.
  • Heba Yousef Mustafa
    School of Medicine, University of Debrecen, Debrecen, Hungary.
  • Sanjana Suresh
    School of Medicine, University of Debrecen, Debrecen, Hungary.
  • George Kroumpouzos
    Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; GK Dermatology PC, South Weymouth, Massachusetts, USA. Electronic address: gk@gkderm.com.

Keywords

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