Sonio Suspect
Overview
Sonio Suspect is an FDA 510(k) cleared AI-powered ultrasound module designed to significantly improve prenatal diagnostics by assisting in the detection of fetal anomalies. Integrated into Sonio’s comprehensive reporting and workflow solution, it enhances detection accuracy by 22 percentage points, achieving an AUC of 91% in studies. The tool enables earlier identification of subtle congenital malformations as early as 11 weeks gestation, providing a longer diagnostic window for intervention and care planning. Sonio Suspect automatically identifies and characterizes abnormal fetal ultrasound findings across key anatomical regions like the heart, brain, and abdomen. It functions as a concurrent reading aid for interpreting physicians during or after fetal ultrasound examinations. The platform is cloud-based, vendor-neutral, and integrates seamlessly with existing systems such as EHR, PACS, and billing systems, ensuring HIPAA and SOC2 Type 2 compliance.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered fetal anomaly detection
- Improved anomaly detection accuracy (22 percentage points, 91% AUC)
- Early identification of congenital malformations (as early as 11 weeks)
- Automatic detection of 8 abnormal findings across 7 ultrasound views (heart, brain, abdomen)
- Concurrent reading aid during/after fetal ultrasound exams
- Integration with Sonio's reporting and workflow solution
- Cloud-based platform with secure access
- Vendor-neutral (compatible with all ultrasound machines)
- Seamless integration with EHR, PACS, and billing systems
- Real-time quality control for ultrasound images
Use Cases
- Assisting physicians in detecting fetal anomalies during prenatal ultrasound
- Improving diagnostic accuracy in prenatal care
- Enabling earlier intervention and care planning for congenital malformations
- Streamlining prenatal ultrasound workflows for efficiency
- Providing quality control and standardization for ultrasound exams
- Supporting OB-GYNs and Maternal-Fetal Medicine specialists
What Physicians Need to Know
Sonio Suspect serves as a powerful concurrent reading aid, significantly enhancing the accuracy and timeliness of fetal anomaly detection. It is crucial to remember that while the AI improves detection rates and consistency across experience levels, it does not replace the comprehensive anatomical survey or the interpreting physician's clinical judgment. Leverage its early detection capabilities to broaden the diagnostic window, allowing more time for patient counseling, intervention planning, and improving maternal and fetal outcomes. The integrated quality control features, alongside anomaly detection, help standardize exam quality, which is vital for reducing missed cases due to poor image quality or misinterpretation.
Sonio Suspect is designed for seamless integration within Sonio's comprehensive cloud-based reporting and workflow solution, which also includes Sonio Detect for quality assurance. The platform is vendor-neutral and can integrate with existing healthcare IT systems, including PACS, EHR, and billing systems, to streamline workflows and ensure exhaustive documentation and accurate diagnosis.
Details
| Category | OB/GYN AI |
| Pricing | Contact for pricing — Custom pricing; enterprise solutions available |
| Deployment | Cloud-based (multi-region deployments, secure cloud-based or on-premise options available for the broader platform) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Sonio Suspect received FDA 510(k) clearance (K243614) on February 21, 2025. It is intended to assist interpreting physicians during or after fetal ultrasound examinations by automatically identifying and characterizing abnormal fetal ultrasound findings on detected views, using machine learning techniques. |
| Integrations | |
| EHR | Not specified |
| Specialties | Maternal-Fetal Medicine, Obstetrics & Gynecology, Radiology |
What the Web Says
Sonio Suspect is an AI-powered software designed to improve the detection of fetal anomalies during prenatal ultrasounds. It has received FDA clearance and aims to address the issue of missed anomalies in standard screenings. The technology provides real-time AI quality control and AI-driven anomaly detection, supporting healthcare providers throughout the patient pathway.
Overall: PositiveStrengths
- Improved anomaly detection accuracy by 22 points (from 69% to 91% AUC) in a multicenter study.
- Enables earlier identification of subtle congenital malformations, as early as 11 weeks gestation.
- Consistent performance across diverse patient demographics and clinician backgrounds (maternal-fetal medicine specialists, OB-GYNs, radiologists).
- Combines real-time AI quality control with AI-driven anomaly detection.
- Cloud-based Software as a Service (SaaS) solution, offering accessibility and continuous updates.
- Supports end-to-end ultrasound reporting, connecting acquisition, review, reporting, and billing.
Limitations
- No readily available negative reviews or opinions from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra were found in the search results.
- Specific pricing information is not publicly available in the provided search results.
- While the technology is FDA cleared, the long-term impact on clinical workflows and potential challenges in integration are not detailed in the provided information.
Based on reviews from: Contemporary OB/GYN, BioWorld, AuntMinnie, X-ray Interpreter, Sonio.ai (official website and blog), Diagnostic Imaging
Last updated: 2026-07-19
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