An AI model accurately identified all cases of placenta accreta spectrum in a high-risk pregnancy cohort using ultrasound images.
Key Details
- 1Study involved retrospective analysis of 2D ultrasound images from 113 high-risk pregnancies at Texas Children’s Hospital (2018–2025).
- 2The AI model detected all cases of placenta accreta spectrum (PAS) with two false positives and zero false negatives.
- 3Mean gestational age at maternal ultrasound was 30.89 ± 3.67 weeks.
- 4Current screening methods typically miss about half of PAS cases before delivery.
- 5Findings presented at the 2026 Society for Maternal-Fetal Medicine (SMFM) Pregnancy Meeting.
Why It Matters

Source
EurekAlert
Related News

NIH-Backed AI Model Predicts Cancer Survival Using Single-Cell Data
Researchers have developed scSurvival, a machine learning tool that uses single-cell tumor data to accurately predict cancer patient survival and identify high-risk cell populations.

Deep Learning Pathomics Platform Improves Immunotherapy Prediction in Lung Cancer
A deep learning pathomics platform accurately predicts immunotherapy response in metastatic NSCLC using routine pathology slides.

AI Pathology Model Outperforms PD-L1 in Predicting NSCLC Immunotherapy Response
MD Anderson's Path-IO machine learning platform accurately predicts immunotherapy responses in metastatic non-small cell lung cancer, surpassing current biomarker standards.