This video features Prof. Juan Luis Alcázar presenting a validation study focused on automatic uterine ultrasound. The study evaluates Samsung’s UterineAssist™ and UterineContour™ technologies, designed to improve workflow accuracy and consistency in gynecologic imaging.
The video demonstrates how these AI-based features support the automatic acquisition of uterine biometric measurements—including endometrial thickness, uterine length, and uterine volume. These measurements are key indicators in evaluating reproductive health, fertility, and uterine abnormalities.
Prof. Alcázar also discusses how the tools assist in identifying the uterine coronal plane, a critical step in evaluating uterine anatomy, particularly in the context of 3D ultrasound imaging. Accurate acquisition of this plane is essential in assessing congenital uterine anomalies or for pre-surgical planning.
Using the V8 ultrasound system, both UterineAssist and UterineContour streamline the sonographer’s workflow by minimizing manual measurement errors and improving image standardization. Prof. Alcázar highlights how automation ensures greater reproducibility across cases, which is especially valuable in high-volume gynecologic practices.
The study findings support the clinical reliability of these tools, with Prof. Alcázar concluding that the software can be confidently used to improve both efficiency and diagnostic accuracy in gynecologic ultrasound exams.
For more insights, refer to the full white paper on the validation study of UterineAssist and UterineContour .
