In this expert insights session from ISUOG 2024, Prof. Julien Stirnemann discusses the use of AI in fetal ultrasound to enhance both accuracy and workflow efficiency. The presentation focuses on the Sonio solution, an AI-powered, standalone reporting platform compatible with any ultrasound machine — including but not limited to Samsung systems — and operable on devices such as iPads for flexibility in clinical use.
Prof. Stirnemann explains how embedding AI into clinical workflows can reduce the number of clicks and unnecessary steps during an examination, allowing more time for patient interaction. The Sonio solution helps standardize reporting, ensure completeness, and improve the exhaustiveness of ultrasound exams by prompting for any missing views or data points, thus minimizing oversights.
The session covers how AI tools can support clinicians in achieving greater diagnostic accuracy, particularly in complex fetal scans, while streamlining documentation. Prof. Stirnemann emphasizes that the Sonio solution is adaptable across different ultrasound brands, making it accessible for a wide range of clinical settings.
He concludes by highlighting how the integration of AI solutions like Sonio into routine obstetric imaging can improve diagnostic thoroughness, enhance reporting quality, and boost overall workflow efficiency — ultimately benefiting both clinicians and patients.