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    Delivery Date AI gives clinicians an independent, AI-generated Predicted Delivery Date, built into the ultrasound workflow they already use.
    How it works

    See Delivery Date AI™ in action

    Clinical Workflow

    Scan
    Upload a standard DICOM ultrasound image from your existing system.
    1
    Analyze
    Delivery Date AI analyzes the entire image, including fetal and maternal characteristics.
    2
    Review
    Receive a Predicted Delivery Date (PDD) to use alongside your clinical assessment in under 30 seconds.
    3
    Clinician FAQs
    Clinical questions, answered.

    Easy installation

    Easily install on most standard ultrasound machines.

    Instant analysis

    Results delivered in under 30 seconds after upload.

    Secure & scalable

    HIPAA-compliant cloud infrastructure.

    Designed to support

    The Predicted Delivery Date should be used as an aid in clinical judgment, alongside standard of care methods.
    University of Kentucky PAIR study
    Independent clinical study demonstrating AI-powered delivery date prediction accuracy.
    5,714
    Patients 
    studied
    19,940
    Ultrasound
    exams
    Clinically validated. 
    Independently studied.
    Validated through rigorous clinical studies across multiple countries.
    Regulatory Approvals 
    Status varies by region.
    Approved
    USA (FDA De Novo Granted)
    Brazil (ANVISA)
    Chile
    2023 Geneva Innovation Award Winner
    Recognized for innovation and clinical impact.
    FDA Pivotal Validation Study
    Independent clinical study submitted in support of FDA De Novo designation.
    247
    Patients Studied
    Suboptimally dated singleton pregnancies, 14 to 36 weeks gestation
    15.22 Days
    Mean Absolute Error
    58% reduction in prediction error compared to standard of care
    p < 0.001
    Compared to 36.41 days using the Hadlock method, in suboptimally dated singleton pregnancies.
    Ready to bring Delivery Date AI™ to your clinic?
    Request a demo to see how Delivery Date AI™ fits into your clinical workflows.
    Request A Demo
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