ultrasound.ai: Transforming Prenatal Care with AI-Powered Ultrasound Insights

ultrasound.ai is a pioneering medical technology company dedicated to improving maternal and fetal health through artificial intelligence. Its flagship platform, Delivery Date AI, leverages deep learning to analyze ultrasound images as early as 6 weeks into pregnancy, delivering precise, personalized delivery date predictions and preterm birth risk assessments in under 17 seconds. Designed for obstetricians and ultrasound technicians, the tool integrates seamlessly into existing clinical workflows—compatible with most cart-based ultrasound machines from the past 20 years—without requiring additional hardware. Powered by over 8 million ultrasound images and validated through the PAIR study involving more than 5,000 pregnancies, the AI achieves 90% accuracy across diverse populations and offers a likelihood plot for enhanced clinical interpretation. With HIPAA compliance, encrypted data handling, and de-identified patient information, the platform ensures privacy and security while enabling real-time insights that can improve patient outcomes by up to 33% and reduce healthcare costs by up to 25%. Already approved by ANVISA in Brazil and in clinical use in Chile since 2024, ultrasound.ai is advancing toward FDA De Novo clearance in the U.S. and supports national maternal health initiatives through anonymized data aggregation. The company emphasizes equity and inclusivity, offering customizable solutions for regional regulations and a free trial for the first 50 scans. Future capabilities include stillbirth prediction, pre-eclampsia detection, and placental abruption forecasting.

Key Features:

• AI-Powered Delivery Date Prediction: Predicts delivery dates as early as 6 weeks into pregnancy using deep learning.
• Preterm Birth Risk Assessment: Identifies early signs of preterm delivery, enabling timely intervention.
• Real-Time Analysis: Delivers results within seconds via a cloud-based platform.
• Holistic Ultrasound Interpretation: Analyzes eight anatomical areas with pixel-level precision.
• Seamless Clinical Integration: Works with existing ultrasound systems and PACS without extra hardware.
• Likelihood Plot Visualization: Offers probabilistic delivery date ranges for better clinical decision-making.
• High Accuracy: Achieves R² values of 0.95 (term births) and 0.94 (term + spontaneous preterm births).
• HIPAA-Compliant & Secure: Ensures data privacy with encryption and de-identification protocols.
• Multi-Language Support: Available in English, Spanish (Mexico), Spanish (Chile), and Portuguese.
• No Special Training Required: Easy to use with minimal orientation for clinicians and sonographers.
• Centralized Updates & Maintenance: Cloud-based system with automatic updates and no on-site maintenance.
• Historical Scan Access: Stores and retrieves past ultrasound data for longitudinal pregnancy tracking.
• Regulatory-Ready: Has received ANVISA approval in Brazil and is exempt in Chile; FDA De Novo submission in progress.
• Research Use & Free Trial: Offers a free trial for the first 50 scans (retrospective or prospective).
• Public Health Data Contribution: Supports maternal health policy development through aggregated, anonymized data.
• Future AI Capabilities: Planned features include stillbirth prediction, pre-eclampsia detection, placental abruption forecasting, and improved gestational age determination.
• Global Accessibility & Customization: Designed to be adaptable to country-specific regulations and health systems.

Pricing: ultrasound.ai offers a free trial for the first 50 scans, with a paid licensing model available for healthcare providers. Volume discounts are offered for large health systems and government contracts, and there are no additional costs beyond the license fee. The platform operates under a subscription-based model for ongoing access, with pricing tailored to institutional needs.

Conclusion: ultrasound.ai is a transformative AI solution in prenatal care, combining clinical accuracy, regulatory progress, and global accessibility to empower healthcare providers with early, actionable insights that enhance maternal and fetal outcomes while supporting public health innovation.