
Researchers have created an AI model using ultrasound to accurately forecast expectant mothers’ delivery timelines.
Key Details
- 1AI software developed by Ultrasound AI predicts time to delivery using ultrasound images.
- 2Model trained on over 2 million de-identified images from pregnant women.
- 3Validated on data from women delivering at the University of Kentucky (2017-2021).
- 4System estimates days until delivery and predicts likelihood of preterm birth.
- 5Described as a milestone with potential to improve prenatal care, especially in low-resource settings.
Why It Matters
Accurate prediction of delivery timing can enhance patient counseling, risk stratification, and resource allocation in maternal-fetal medicine. This represents a significant advance for imaging AI in obstetrics, contributing to better outcomes in women's health.

Source
Health Imaging
Related News

•Radiology Business
Study Highlights Limitations of AI in Prostate MRI Screening
New research points to several shortcomings in implementing AI for MRI-based prostate cancer screening.

•AuntMinnie
Deep Learning Model Predicts Brain Tumor MRI Enhancement Without Gadolinium
German researchers developed a deep learning approach to predict MRI contrast enhancement in brain tumors without the need for gadolinium-based agents.

•AuntMinnie
Multimodal LLMs Achieve High Accuracy Detecting Scoliosis on X-rays
Multimodal LLMs achieved up to 94% accuracy for scoliosis detection on spine x-rays, but struggled with lumbar stenosis on MRI.