Amos Grünebaum: Research Driving the Future of Maternal-Fetal Medicine
Amos Grünebaum, Professor of Obstetrics and Gynecology at Donald and Barbara Zucker School of Medicine, shared a post on LinkedIn:
“I would like to share some of the work that the Grünebaum/Chervenak research team has accomplished since January 2025.
A few highlights:
- 35+ peer-reviewed publications in PubMed-indexed journals
- Publications in JAMA, JAMA Network Open, American Journal of Obstetrics and Gynecology, The Lancet Regional Health Americas, and Journal of Perinatal Medicine
- International collaborations across maternal-fetal medicine, neonatology, bioethics, public health, and artificial intelligence
- Continued work integrating clinical evidence, professional responsibility, patient safety, and medical ethics
Some of the major themes from this work:
- Advancing artificial intelligence in obstetrics
- Clinical AI competence as a new patient safety responsibility
- Generative AI for patient education, informed consent, fetal anomaly counseling, and literature review
- Ethical hybrid peer review through the FAIR framework
Reframing the fetus as a patient
- Professional responsibility in contemporary perinatal medicine
- The fetus as a patient in the 21st century
- Global responsibility, science, ethics, and technology in fetal medicine
Studying U.S. pregnancy and birth trends
- National trends in U.S. live births by race and ethnicity
- Expansion of labor induction beyond 39 weeks
- Changing prepregnancy BMI patterns
- Cesarean delivery trends and demographic shifts
Improving safety and transparency in birth setting research
- Community births in the United States
- Selective nonreporting of 5-minute Apgar scores in out-of-hospital births
- Ethical informed consent for planned home and birth-center births
Advancing professional responsibility and reproductive ethics
- Cesarean delivery on maternal request
- COVID-19 vaccination in pregnancy
- Reproductive justice
- Pregnancy language, clinical clarity, and respect for patients
Improving patient communication and health literacy
- Readability of ACOG patient education materials
- AI-assisted simplification of informed consent
- Clearer counseling after prenatal ultrasound diagnosis of fetal malformations
- Caring for neurodiverse pregnant individuals (in AJOG, first ever on this subject)
This work reflects a sustained collaboration among colleagues, trainees, students, and international partners. I am especially grateful for the opportunity to work with Frank Chervenak and many outstanding collaborators on research that connects evidence, ethics, artificial intelligence, and patient safety.
We look forward to continuing this work and to generating scholarship that improves care for pregnant patients, fetal patients, newborns, and families.”
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