Delivery Date AI uses advanced artificial intelligence, specifically deep learning algorithms like convolutional neural networks and transformers, to analyze ultrasound images. The AI has been trained on over 8 million ultrasound images, allowing it to identify complex pixel patterns associated with gestational age and preterm birth risks. When an ultrasound scan is performed, the images are instantly sent to Delivery Date AI’s cloud-based platform, which processes them in real-time and generates a predicted delivery date. The system integrates seamlessly with existing ultrasound equipment, requiring no additional hardware, and delivers
results within seconds.
Unlike traditional fetal biometry, which relies on specific measurements of fetal anatomy, Delivery Date AI utilizes a more comprehensive approach:
6 Weeks
Based on the University of Kentucky validation study, Delivery Date AI demonstrates high accuracy in predicting delivery dates. For term births, the AI achieved an R² value of 0.95, indicating a very strong correlation between predicted and actual delivery dates. For term births plus spontaneous preterm births, the R² value was 0.94.
Delivery Date AI currently focuses on predicting preterm birth and delivery dates. However, ultrasound AI has plans to expand its capabilities to detect other pregnancy complications in the future. The company’s product roadmap includes developing AI algorithms to predict conditions such as pre-eclampsia, placental abruption, intrauterine growth restriction (IUGR), and more accurate gestational age determination.
Delivery Date AI is designed to work with routine ultrasound scans performed during pregnancy, so there’s no need for additional or more frequent scans beyond what is typically recommended. The frequency of scans can follow standard obstetric care guidelines, which usually include scans at key stages of pregnancy. Each time an ultrasound is performed, Delivery Date AI can provide updated predictions, allowing for ongoing monitoring of the pregnancy’s progress and any changes in the risk of preterm birth.
Absolutely! We have designed the AI interface to be intuitive and easy to use for medical providers. Integration with existing ultrasound machines and workflows is seamless, allowing for efficient utilization without significant changes to your current practices.
Data security is a top priority for us. We employ industry-standard encryption protocols to safeguard patient information during transmission and storage. All data is stored in secure, HIPAA-compliant servers, ensuring patient privacy is maintained at all times.
Integration is a straightforward process. For large providers, we offer a secure forwarding apparatus that automatically transmits studies from your site for integration testing. Smaller practices can easily connect their ultrasound machines to our AI system directly.
By utilizing our AI system, medical providers can enhance patient care by identifying high-risk pregnancies earlier and tailoring treatment plans accordingly. It can also streamline workflows, improve resource allocation, and reduce unnecessary interventions.
We offer comprehensive onboarding, training, and ongoing support for all medical providers integrating our AI system. Our team of experts will assist you throughout the process, ensuring a smooth transition and successful implementation.
Our AI system undergoes rigorous testing and adheres to regulatory standards in various countries. We work closely with local authorities to obtain necessary approvals and ensure compliance with regional guidelines.
To get started, simply fill out the contact form on our website, and our dedicated team will reach out to you promptly. We will guide you through the integration process and provide all the information you need to start using our AI delivery date prediction system.
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