Researchers developed a machine learning model that uses MRI data to predict severe complications in placenta accreta spectrum (PAS) cases.
Key Details
- 1Placenta accreta spectrum is a serious perinatal complication linked to maternal mortality.
- 2Cases of PAS have risen in part due to increased cesarean deliveries.
- 3Machine learning techniques are being applied to MRI data to predict risk of severe outcomes before delivery.
- 4Accurate pre-delivery risk prediction may improve clinical management and outcomes for PAS patients.
Why It Matters
Integrating machine learning with MRI could offer earlier, more accurate risk stratification for PAS, helping radiologists and clinicians manage high-risk obstetric patients and potentially reduce maternal morbidity and mortality.
Source
Health Imaging
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