Equitable Artificial Intelligence in Obstetrics, Maternal-Fetal Medicine, and Neonatology

Abstract

Artificial intelligence (AI) offers potential benefits in the interconnected fields of obstetrics, maternal-fetal medicine, and neonatology to bridge disciplinary silos for a unified approach. Artificial intelligence has the capacity to improve diagnostic accuracy and clinical decision making for the birthing parent-neonate dyad. There is an inherent risk of ingrained biases in AI that perpetuate existing inequalities; thus, care must be taken to include diverse data sets with interdisciplinary collaboration that centers equitable AI implementation. As AI plays an increasingly important role in perinatal care, we advocate for its cautious, equity-focused application to benefit the perinatal dyad while avoiding the intensification of health care disparities and disciplinary silos.