Clinical Evidence

This white paper reviews the latest epidemiological data on congenital malformations, discusses the role of prenatal ultrasound in screening, and outlines strategies for integrating quality assurance into clinical practice.

Discover how Quality Assurance in prenatal ultrasound can improve outcomes for mothers and babies. This white paper explores the impact of congenital malformations, the role of ultrasound in early detection, and practical QA strategies for OB/GYN practices.

This poster outlines a study aimed at developing an AI pipeline for aortic coarctation screening through automatic vessel diameter measurement and evaluating its potential as a prenatal predictor of AoC.

Listen to Andrew Combs, MD, PhD, Senior Advisor for MFM Clinical Quality at the Pediatrix Center for Research, Education, Quality, and Safety, as he presents on "Enhancing Fetal Weight Estimation: Promising Results from AI-Driven Approaches" at SMFM 2025.

Watch a live demo of Sonio’s ultrasound reporting software at ISUOG world congress 2024

Download an example of pregnancy ultrasound reports generated using Sonio's ultrasound reporting software.

This study assesses the impact of a visual checklist on the completeness of fetal US exam across the first (T1), second (T2) and third (T3) trimester scans. Over six months, three obstetrician-gynecologists from a French women's health institution, used the visual checklist integrated into Sonio Pro (Sonio, Paris France). Exam completeness was measured by comparing the actual images taken during the exam, with those recommended in the CNEOF 2016 and 2022 protocols, hypothesising that the use of the checklist would reduce the number of missing views.

Explore this case study on the prenatal diagnosis of Diprosopus Conjoined Twins, a rare craniofacial anomaly, highlighting the clinical presentation, prognosis, and the role of advanced technologies like AI in early detection and management.

The Cybersecurity Data sheet gives you a detailed overview of our security measures. In this data sheet, you will find:

The Sonio Product Data Sheet gives you a detailed overview of our ultrasound reporting software and it’s specifications including:

This study shows that AI can efficiently and automatically address main aspects of quality control for fetal ultrasound, while reducing unnecessary repetitive tasks such as labelling.

This study will evaluate the performance of an AI software in extracting standard heart planes from heart clips, particularly will be evaluated if such a tool used in clinical routine can provide automatically extracted planes with similar number of matched quality criteria with reduced time of extraction.

The initial, baseline QA review, [included] […] A total of 110 ultrasound examinations […] with only 49% of examinations deemed “complete”. None of the sonographers had a 100% complete examination rate. […] Results from the first quarter following institution of the checklist revealed that 81% of studies were “complete,” and 90% were complete by year-end assessment.