Ultrasound AI , a pioneer in artificial intelligence applications for medical imaging, today announced the publication of groundbreaking findings from its PAIR (Perinatal Artificial Intelligence in Ultrasound) Study in The Journal of Maternal-Fetal & Neonatal Medicine. The study was performed in collaboration with researchers at the University of Kentucky and validates Ultrasound AI’s proprietary technology that more accurately predicts time to delivery using only standard ultrasound images. This technology offers a non-invasive, efficient, and scalable tool for improving pregnancy outcomes, particularly in the fight against preterm birth.
The AI software was developed and trained using de-identified ultrasound images from a cohort of women who delivered at the University of Kentucky from 2017 to 2021. Led by John M. O’Brien, MD, Division Director of Maternal-Fetal Medicine (MFM) at the University of Kentucky (UK); Garrett K. Lam, MD, MFM specialist and professor of Obstetrics and Gynecology at UK; and Neil B. Patel, MD, a MFM physician at Ascension Sacred Heart Pensacola, the team’s peer-reviewed publication titled “Perinatal artificial intelligence in ultrasound (PAIR) study: predicting delivery timing,” is now live and accessible online here .
“This is a major milestone for the field of maternal-fetal medicine and for Ultrasound AI,” said Robert Bunn, Founder and President of Ultrasound AI. “Our AI’s ability to accurately predict delivery timing–and learn and improve over time–has profound implications for both clinical practice and public health, especially in settings where early risk identification is critical and access to specialist care is limited.”
Key findings from the study:
Transforming Obstetric Care
Preterm birth is the leading cause of neonatal mortality globally, yet prediction remains a persistent challenge. Ultrasound AI’s technology offers a potential leap forward: by leveraging existing ultrasound workflows and requiring no additional inputs, it delivers scalable, clinician-friendly decision support that can be deployed anywhere ultrasound imaging is available.
“AI is reaching into the womb and helping us forecast the timing of birth, which we believe will lead to better prediction to help mothers across the world and provide a greater understanding why the smallest babies are born too soon. AI will eventually provide greater insights in how to target and prevent adverse pregnancy outcomes. This work is an important first step in the start of a powerful advance in technology for the field of Obstetrics,” according to Dr. O’Brien.
To access the full study, please visit: https://doi.org/10.1080/14767058.2025.2532099
About Ultrasound AI
Ultrasound AI is a leading innovator in medical technology, specializing in the development of advanced AI solutions to transform healthcare. With a commitment to improving patient care and healthcare efficiency, the team is dedicated to delivering the next generation of medical diagnostics to markets around the world. Ultrasound AI has received broad IP protection covering a full range of its proprietary AI based algorithms. For more information, please visit ultrasound.ai .
The Journal of Maternal-Fetal & Neonatal Medicine