Researchers present a new AI model to help diagnose placenta accreta spectrum before delivery.
Key Details
- 1Placenta accreta spectrum (PAS) is a serious pregnancy complication involving abnormal placental attachment.
- 2PAS is often undetected during pregnancy and can cause life-threatening hemorrhage.
- 3Incidence of PAS is increasing, heightening the need for better detection tools.
- 4Researchers unveiled their AI diagnostic tool at the 2026 Society for Maternal-Fetal Medicine meeting.
- 5The AI aims to be used as a clinical screening tool to reduce PAS-related maternal morbidity and mortality.
Why It Matters
Reliable early detection of PAS using AI could significantly reduce maternal mortality and improve clinical outcomes. This research highlights AI's potential impact on prenatal care and risk management in obstetrics imaging.
Source
Radiology Business
Related News
•AuntMinnie
Study: Computer Vision Models Best LLMs in Chest CT Breast Abnormality Detection
Computer vision models (CVMs) surpass large language models (LLMs) in accurately labeling incidental breast abnormalities on chest CT scans.
•AuntMinnie
Deep Learning Models Rival Radiologists for Pancreatic Cancer Detection on CT
Deep-learning models achieved comparable or superior accuracy to experienced radiologists in detecting pancreatic cancer on CT scans, especially for small tumors.
•Radiology Business
Radiology AI Devices at Elevated Risk for FDA Recalls, Study Finds
Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.