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preterm.ai

Stage

Option/Warrant | Alive

Last Raised

$400K | 7 mos ago

About Ultrasound AI

Ultrasound AI (UAI) provides providers and patients with timely, accurate information to make better-informed decisions and improve the wellbeing of babies and mothers. It combines 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, Ultrasound AI addresses healthcare’s Quadruple Aim: enhanced patient experience, improved clinician experience, better health outcomes, and lower cost of care.

Ultrasound AI Headquarter Location

4349 Ivycrest Pt.

Lone Tree, Colorado, 80130,

United States

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Expert Collections containing Ultrasound AI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Ultrasound AI is included in 4 Expert Collections, including Digital Health.

D

Digital Health

12,795 items

Technologies, platforms, and systems that engage consumers for lifestyle, wellness, or health-related purposes; capture, store, or transmit health data; and/or support life science and clinical operations. (DiME, DTA, HealthXL, & NODE.Health)

M

Medical Devices

7,913 items

Companies developing medical devices (per the IMDRF's definition of "medical device"). Includes software, lab-developed tests (LDTs), and combination products. *Columns updated as regularly as possible.

A

Artificial Intelligence

8,694 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

H

Health IT

7,900 items

Ultrasound AI Patents

Ultrasound AI has filed 2 patents.

The 3 most popular patent topics include:

  • Midwifery
  • Neonatology
  • Obstetrics
patents chart

Application Date

Grant Date

Title

Related Topics

Status

6/19/2021

3/8/2022

Obstetrics, Midwifery, Neonatology, Medical imaging, Pediatrics

Grant

Application Date

6/19/2021

Grant Date

3/8/2022

Title

Related Topics

Obstetrics, Midwifery, Neonatology, Medical imaging, Pediatrics

Status

Grant

Latest Ultrasound AI News

Ultrasound AI Receives Patent for Preterm AI

Apr 8, 2022

Ultrasound AI Receives Patent for Preterm AI Combines the power of ultrasound with artificial intelligence to predict preterm birth. Preterm AI combines the power of ultrasound with artificial intelligence to predict preterm birth. Charles Sternberg, Associate Editor04.08.22 Ultrasound AI Inc. , an artificial intelligence company dedicated to improving women’s health, has been awarded its first patent for the software powering its predictive diagnostic medical technology, Preterm AI (PAI), which combines the power of ultrasound with artificial intelligence to predict preterm birth. The U.S. patent application states PAI’s software has been applied to real-world data obtained from a clinical context and has been shown to consistently produce a positive predictive value (the AI predicts a preterm birth, and the mother then delivers preterm) above 90% and a negative predictive value (the AI predicts a normal birth, and then the mother delivers the baby at full term) above 90%. "This technology has the potential to revolutionize obstetric care as well as accelerate research to develop new interventions to prevent both premature births and miscarriages," said Dr. Garrett K. Lam, FACOG, chief medical officer at Ultrasound AI. Preterm birth is when a baby is born before 37 weeks of pregnancy. In 2020, preterm birth affected one in 10 infants born in the United States.1 Preterm birth complications are the leading cause of death among children under five years of age, responsible for approximately one million deaths annually.2 Premature births often result in emotional trauma for families, prolonged stays in specialty care nurseries, and profound health consequences for preterm infants.3 Many women who deliver prematurely have no known risk factors or early symptoms of complications.4   “Doctors assume 280 days until birth, and they may be able to label someone as ‘at risk,’ but that isn’t necessarily accurate. The ability to accurately predict if a baby will be born early and how early are non-existent using ultrasound imaging. The current blood tests are limited in use and accuracy, and can be expensive,” explains Robert Bunn, president and founder of Ultrasound AI. Bunn is the pioneering expertise behind this discovery. After he and his wife experienced nine miscarriages and the happy arrival of four daughters over time, he knew he wanted to “make a huge dent in every serious affliction that only impacts women.” He used AI to analyze the data from 400,000+ de-identified ultrasound images. The AI learned patterns from those images and was eventually able to recognize patterns in images and associate them with birth outcomes. Ultrasound AI “There’s a lot of noise in the images in ultrasound, so humans have difficulty seeing the image and understanding it. Our AI software is trained to do what we can’t and see things that we can’t see. Most people wouldn’t even consider this possible,” shared Bunn. Now, after four years of cutting-edge research and development, this revolutionary new AI software shows the promise to change the lives of countless families around the world. PAI has the power to give providers and patients timely, accurate information to make better-informed decisions and improve the wellbeing of babies and mothers. References: 1 Centers for Disease Control and Prevention. (2021, November 1). Preterm birth. Centers for Disease Control and Prevention. Retrieved March 23, 2022, from https://www.cdc.gov/reproductivehealth/maternalinfanthealth/pretermbirth.htm   2 World Health Organization. Preterm birth. World Health Organization. Retrieved March 23, 2022, from https://www.who.int/news-room/fact-sheets/detail/preterm-birth   3 Lakshmanan, A., Agni, M., Lieu, T., Fleegler, E., Kipke, M., Friedlich, P. S., McCormick, M. C., & Belfort, M. B. (2017, February 16). The impact of preterm birth <37 weeks on parents and families: A cross-sectional study in the 2 years after discharge from the Neonatal Intensive Care Unit. Health and quality of life outcomes. Retrieved March 23, 2022, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312577/    4 Mayo Foundation for Medical Education and Research. (2021, April 14). Premature birth. Mayo Clinic. Retrieved March 23, 2022, from https://www.mayoclinic.org/diseases-conditions/premature-birth/symptoms-causes/syc-20376730   Sam Brusco, Associate Editor 04.08.22 Charles Sternberg, Associate Editor 04.05.22 Sam Brusco, Associate Editor 04.01.22 Sam Brusco, Associate Editor 03.23.22 Sam Brusco, Associate Editor 03.18.22 Charles Sternberg, Associate Editor 03.18.22 Michael Barbella, Managing Editor 03.18.22 Charles Sternberg, Associate Editor 03.17.22 Sam Brusco, Associate Editor 03.17.22 Charles Sternberg, Associate Editor 03.14.22 Michael Barbella, Managing Editor 03.11.22 Sam Brusco, Associate Editor 03.08.22 Sam Brusco, Associate Editor 03.01.22 Sam Brusco, Associate Editor 02.28.22

  • Where is Ultrasound AI's headquarters?

    Ultrasound AI's headquarters is located at 4349 Ivycrest Pt., Lone Tree.

  • What is Ultrasound AI's latest funding round?

    Ultrasound AI's latest funding round is Option/Warrant.

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