Ultrasound AI presents

Delivery Date AI™

Predicting delivery dates with precision, care, and confidence

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Brazil: Approved (ANVISA registration number: 82499100004)

Chile: Currently offered in Chile under local regulatory allowances. Not yet subject to mandatory ISP registration.

United States: FDA De Novo Cleared

Delivery Date AI™ is indicated for singleton pregnancies at or between 14 0/7 and 36 6/7 weeks gestation where a reliable estimated delivery date is unavailable.

The silent crisis in maternal care

Traditional 40-week predictions fail families when it matters most. Every pregnancy is unique, yet standard methods treat them all the same. That's why we created Delivery Date AI™.

Expecting?

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400000

Preterm births annually in the U.S. alone

1

M

Lives lost globally each year due to preterm complications

$

26

B

Annual preterm birth costs within the US

"A baby shouldn't have to fight for its life on day one."

- Robert Bunn,

Founder & President

How It Works

For pregnancies where traditional dating methods fall short, Delivery Date AI gives clinicians an independent, AI-generated Predicted Delivery Date from the same ultrasound images they're already capturing.

A smarter way to predict delivery

Delivery Date AI analyzes entire ultrasound images, picking up on fetal and maternal characteristics that standard biometric methods don't account for. The result is a Predicted Delivery Date that gives clinicians a more accurate data point in pregnancies where a reliable estimated delivery date is unavailable.

Designed to support

The Predicted Delivery Date is designed as an adjunctive tool, not a replacement, to clinical expertise. It works best when used alongside standard biometric dating methods, giving clinicians a more complete picture when they need it most.

Trusted partners

Founder, Robert Bunn, Discusses Advancements in Prenatal Care using AI on PBS™

Real Stories. Real Results.

Hear from patients and medical professionals who've experienced the confidence that comes with accurate delivery predictions

"I have had several ultrasounds using this system, and it has given me more confidence because I feel more supported throughout my journey."

Jhonimar Ortega

Expectant Mother

"I can give my testimony as the owner of Bebe Lab and a witness to the first patient attended with the app. As an institution, we feel confident using this technology, as it helps solve problems before they arise. It is simply a genius innovation that is saving lives."

Loreto Silva

Owner, BeBe Lab Medical Center

"When I found out that the medical center had technology to help determine if my baby had a chance of being born prematurely, I immediately asked to try it. Having this technology in my ultrasounds makes me feel much safer and more at ease."

Camila Velásquez

First-time Mother

"I was very surprised when I learned about this artificial intelligence. I don't fully understand it, but if it's good for my baby, I am deeply grateful for it."

Rubiangel Vilchez

Expectant Mother

Publications

Robert Bunn Discusses Advancements in Prenatal Care using AI on PBS

Robert Bunn, founder and president of Ultrasound AI on PBS News.

Robert Bunn recently joined Base to Base Biotech Podcast

This week, we have conversations with Robert Bunn, founder and president of Ultrasound AI.

Ultrasound AI Secures New U.S. Patent for AI-Driven Clinical Value Determination, Expanding Global Patent Portfolio

Company now holds six issued patents across three countries, reinforcing Ultrasound AI's position as a leader in AI-powered medical imaging

Using AI to analyse ultrasound scans lets parents pinpoint exact due date of babies, study claims

Using artificial intelligence to analyse ultrasound scans could give parents the exact day their child will be born with 95 per cent accuracy, a study has claimed. Doctors currently estimate a foetus's due date by adding 40 weeks to the first day of the mother's last menstrual period.

MSN News: AI and ultrasound images can now help predict infant delivery timing

Ultrasound AI, which develops artificial intelligence applications for medical imaging, has published findings from its PAIR (Perinatal Artificial Intelligence in Ultrasound) Study in The Journal of Maternal-Fetal & Neonatal Medicine.