Clinical Evidence

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.

Ranzini, A., Oyelese, Y., Faulk, K.R., Flinn, M., Besson, R., Debavelaere, V., Loge, F., Amabile, C., Spaggiari, E., Stirnemann, J. and Ville, Y.

Ultrasound in Obstetrics & Gynecology (2023)

Sonio Paper

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.

Stirnemann, J., Besson, R., Debavelaere, V., Loge, F., Amabile, C., Migeon, P., Curran, M.A., Fries, N., Smith, E., Ostermayer, E., Bradley, K.E., Armstrong, L., Trychon, K., Sheehan, K., Flinn, M., Rodriguez, D.A., Spiliopoulos, M., Romero, V., Jones, D.A., Allbert, J.R., Ghulmiyyah, L., Spaggiari, E. and Ville, Y.

Ultrasound in Obstetrics & Gynecology (2023)

Sonio Paper

The use of a checklist-type control tool during the screening examination can significantly reduce the number of missing images during ultrasound examinations.

Deloison, B., Benoit, G., Dupont, C.B., Sabine, A., Jacquemard, F. and Bouhanna, P.P.

Ultrasound in Obstetrics & Gynecology (2021)

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.

Mrazek-Pugh, B., Blumenfeld, Y.J., Lee, H.C. and Chueh, J.

American Journal of Perinatology (2015)