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Get answers to common questions about our AI-powered prenatal technology
From clinical applications to technical considerations, find information for care teams.
Ultrasound AI develops predictive ultrasound software that analyzes routine prenatal ultrasound images to estimate delivery timing and surface early signals associated with preterm birth risk, without adding steps to existing clinical workflows.
Delivery Date AI is a software model that uses patterns in standard ultrasound images to generate a predicted delivery date range and an early risk signal related to preterm birth. Results are delivered through a secure, cloud-based workflow.
The technology is designed to generate insights as early as 6 weeks gestational age, supporting earlier clinical awareness compared to many traditional approaches.
Images from routine ultrasounds are securely uploaded and analyzed by proprietary machine learning models. Clinicians receive a delivery timing estimate and risk-related insights without requiring new hardware, additional scans, or extra patient visits.
Ultrasound AI’s models are trained and evaluated using large, diverse clinical datasets and retrospective research studies. Ongoing clinical collaborations continue to expand evidence generation and real-world validation.
Ultrasound AI is intended to support clinical decision-making by providing additional information. It does not make diagnoses or treatment decisions and should be used alongside clinical judgment and standard care guidelines.
Ultrasound AI products are developed and deployed in alignment with applicable regulatory frameworks. Regulatory pathways are pursued in parallel with clinical validation and may vary by product and geography.
The platform is designed to work with standard ultrasound workflows and integrate with PACS and clinical systems through secure, HIPAA-compliant software interfaces.
All data is handled using HIPAA-compliant security practices, including encrypted transmission, secure cloud processing, and appropriate data governance controls.
Ultrasound AI supports OB/GYN practices, maternal-fetal medicine groups, imaging centers, and health systems seeking earlier and more consistent prenatal insights.
Ultrasound AI focuses on extracting new predictive value from ultrasounds that already occur in routine care, emphasizing early insights, minimal workflow disruption, and continuous model improvement using diverse clinical data.
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