Of the four million babies born every year in the United States about 10% are born prematurely (< 37 weeks), often resulting in emotional trauma for families, prolonged stays in specialty care nurseries, and profound health consequences for preterm infants. According to the March of Dimes, costs associated with preterm birth add more than $30 billion per year to U.S. healthcare costs – including healthcare costs for preterm babies and L&D costs for mothers.
Reducing preterm birth requires early, accurate identification and early intervention by providers and patients. Traditional diagnosis depends on the skill and experience of providers, but often fails to identify preterm risk. In fact, 50% of women who deliver prematurely have no known risk factors.
How our technology works
Empowering mothers and providers
Ultrasound AI (UAI) provides providers and patients with timely, accurate information to make better informed decisions and improve the wellbeing of babies and mothers. We combine the power of ultrasound with artificial intelligence to forecast the number of days early a baby will be born. Results are rendered instantly and delivered into existing clinical workflows used by obstetricians and maternal fetal medicine specialists. By doing so, we address healthcare’s Quadruple Aim: enhanced patient experience, improved clinician experience, better health outcomes and lower cost of care.
Healthcare's Quadruple Aim
Enhanced patient experience
Improved clinician experience
Better health outcomes
Lower cost of care
Ultrasound + AI
UAI’s cloud-based AI technology was developed over more than two years, using hundreds of thousands of ultrasound images from thousands of patients. It predicts preterm birth as early as eight weeks gestation and accurately identifies 50%+ of babies born more than 60 days early, while also identifying specific anatomical areas of concern. UAI has applied for patent protection and will soon apply for breakthrough device designation and marketing clearance with the FDA.
"The founders of Preterm AI are harnessing the power of artificial intelligence to detect subtle characteristics in ultrasound images-undetectable by human eyes or unknown to medical knowledge-to identify women at risk for preterm birth and predict their date of delivery.
Their work thus far on thousands of captured sonographic images show that this technology is revolutionary and easily accessible to physicians and patients, and provides remarkable ease of use as the AI simply assesses characteristics of the images taken during routine obstetrical ultrasounds-it does not require additional specialized training.
I am excited to contribute to the development and refinement of this technology because its very characteristics give it the potential to become a tool vital to the care of all pregnant women: accurate foreknowledge of individual risk for preterm delivery allows for appropriate clinical preparation, and will lead to development of more effective therapies to lower the morbidity from preterm birth!"
- Garrett K. Lam, MD, FACOG