Ultrasound AI
About Ultrasound AI
Ultrasound AI is a healthcare artificial intelligence company dedicated to transforming prenatal care through its innovative, image-only AI solutions. Their flagship product, Delivery Date AI™, is an FDA De Novo-granted cloud-based Software as a Medical Device (SaMD) designed to assist healthcare providers in accurately predicting delivery dates as early as eight weeks into pregnancy. This technology leverages an ensemble of deep-learning neural networks, trained on millions of diverse ultrasound images, to analyze fetal and maternal characteristics, providing clinicians with earlier and more precise insights into a pregnancy’s progression.
The company’s platform aims to reduce clinical uncertainty, particularly in suboptimally dated pregnancies or those with late-entry prenatal care, thereby enabling more informed clinical decision-making and potentially improving maternal and fetal outcomes by identifying and addressing potential risks of preterm birth. Delivery Date AI™ is designed for seamless integration into existing ultrasound workflows, making it scalable across high-volume health systems, resource-constrained clinics, and obstetric deserts. Beyond delivery date prediction, Ultrasound AI’s patented technology is expanding to determine clinical values across a range of conditions, further augmenting clinicians with actionable insights derived from standard ultrasound.
Focus Areas
Business Intelligence
| Key Investors | Ignite Healthcare Network |
| Partnerships | University of Kentucky (PAIR study), market entry in Brazil and Chile |
| Technology | cloud-based Software as a Medical Device (SaMD), deep-learning neural networks, image-only AI, patented technology |
| FDA Clearances | 1 cleared products (estimated) |
What Physicians Need to Know
For physicians, Ultrasound AI's 'Delivery Date AI' offers a powerful adjunctive tool to enhance clinical decision-making, particularly in pregnancies with unreliable traditional dating. Its ability to provide accurate, image-based predicted delivery dates and improve preterm birth risk assessment can lead to earlier, more informed interventions and personalized care plans. The system's independence from clinical measurements and maternal history, coupled with its continuous learning capability, provides robust and generalizable insights. By streamlining workflows and reducing the burden of manual tasks, it frees up valuable time for clinicians to focus on patient interaction and complex cases, ultimately improving diagnostic confidence and patient outcomes, especially in high-resource and resource-limited settings.
Ultrasound AI's technology is a cloud-based Software as a Medical Device (SaMD) designed for seamless integration. It is compatible with most existing ultrasound machines, allowing images to be uploaded to the cloud and results delivered within seconds. The system integrates into current OB/MFM prenatal visit workflows without requiring new hardware or significant workflow disruption, making it scalable across various healthcare settings.
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