Giulia Zamagni: Critical Gaps in Machine Learning Models for Fetal Growth Restriction
Giulia Zamagni, PhD Candidate in Applied data Science and Artificial Intelligence at Università degli Studi di Trieste, shared a post on LinkedIn about a paper published in American Journal of Obstetrics and Gynecology MFM:
“I’m happy to share our latest work, published in American Journal of Obstetrics and Gynecology MFM: ‘Assessing Adherence to TRIPOD+AI Guidelines in Machine Learning Models for Predicting Small for Gestational Age and Fetal Growth Restriction: A Systematic Review’.
What did we find?
Despite the growing enthusiasm for machine learning in perinatal medicine, our systematic review reveals several critical gaps that limit clinical applicability:
Not a single model evaluated performance across clinically relevant subgroups. This means we have no idea whether these models behave differently – and potentially inequitably – for different populations.
Only 15% of studies evaluated calibration.
This is perhaps the most alarming finding.
In clinical prediction models, calibration is essential: predicted risks directly inform decisions such as surveillance intensity, timing of delivery, or need for intervention.
A model that is well-discriminating but poorly calibrated can overestimate or underestimate risks, leading to unnecessary interventions or missed opportunities for timely care. Yet, calibration was almost entirely overlooked.
Why this matters
Developing ML for healthcare must be more than a technical exercise: it requires robust methodology and thoughtful evaluation to truly support patient care.”
Title: Assessing adherence to TRIPOD+AI guidelines in machine learning models for predicting small for gestational age and fetal growth restriction: a systematic review
Authors: Giulia Zamagni, Camilla Fregona, Moira Barbieri, Maria Sole Scalia, Lorenzo Monasta, Christoph Lees, Tamara Stampalija, Giulia Barbati
Read the full article.
Stay updated on all scientific advances in the field of fertility with Fertility News.
-
Jul 12, 2026, 17:02Are You Passionate About Patient Safety and Communication in Healthcare? – RCOG
-
Jul 12, 2026, 17:00Christopher Robinson: Ultrasound-Guided HIFU in Early-Onset Twin-Twin Transfusion Syndrome
-
Jul 12, 2026, 16:59Addressing Sexual Violence, A FIGO Committee on Women Facing Crises Consensus Statement – IJGO
-
Jul 12, 2026, 16:57Clinician vs. Embryologist, Same Cycle, Different Windows into Biology – Indore Infertility Clinic and IVF Center
-
Jul 12, 2026, 16:56Marco Zaccaria: Understanding Uterine Fibroids Through Nutrition and Lifestyle!
-
Jul 12, 2026, 16:54Camille Clare: ACOG Begins New Leadership Chapter with Inaugural Board Meeting!
-
Jul 12, 2026, 16:53Sandro Esteves: Scientific Exchange and Innovation in Male Fertility at London’s IVF Masterclass
-
Jul 12, 2026, 16:51George Woodhead: Sharing Our Work on Cryotransport of Vitrified Donor Oocytes at ESHRE!
-
Jul 12, 2026, 16:49How ESHRE 2026 Is Shaping the Future of Reproductive Medicine? – Umana Fertility