Publications by authors named "S Bouno"

Article Synopsis
  • The study aimed to illustrate shunt flow in small ventricular septal defects (VSDs) using advanced imaging techniques like HDlive Flow and STIC.
  • Four cases of small isolated VSDs were analyzed using color Doppler and the mentioned imaging methods.
  • The findings suggest that HDlive Flow with STIC and HDlive Silhouette offers better visualization of shunt flow compared to traditional color Doppler methods, enhancing real-time spatial recognition.
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Objectives: To describe prevalence, outcome, color Doppler, and HDlive Flow (Silhouette) with spatiotemporal image correlation (STIC) features of isolated tortuous ductus arteriosus in Japanese fetuses at 28-31 + 6 weeks of gestation.

Methods: During a 37-month period, 3,150 fetal screenings were performed at 28-31 + 6 weeks of gestation. Isolated tortuous ductus arteriosus was evaluated using color Doppler and HDlive Flow (Silhouette) with STIC.

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Objective: To examine whether artificial intelligence can achieve discoveries regarding fetal brain activity.

Methods: In this observational study, the authors collected images of fetal faces using a four-dimensional ultrasound technique obtained from singleton pregnancies of outpatients in routine practice at 27 to 37 weeks of gestation between February 1 and December 31, 2021. The authors developed an artificial intelligence classifier to recognize seven facial expressions of fetuses, then applied it to video files of fetal facial images to generate the probabilities, as confidence scores, of each expression category.

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Article Synopsis
  • The study aimed to observe the development of the fetal hyaloid artery (FHA) during pregnancy using a technique called SlowflowHD, assessing 118 normal fetuses at three different gestational periods.
  • Researchers classified the FHA's presence and blood flow into six types based on various factors, such as detection and blood flow status during specific weeks of gestation.
  • Results showed that blood flow was prevalent before 30 weeks, but after that, a significant number of cases indicated no blood flow, suggesting that the presence of FHA blood flow is a normal occurrence in healthy fetuses before this period.
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Article Synopsis
  • The study aimed to develop an AI classifier to identify fetal facial expressions linked to brain development through a non-invasive analysis of sonographic images from pregnant women.
  • Fetal images were categorized into seven expressions, and a deep learning AI model was trained, achieving high accuracy in identifying expressions like eye blinking, mouthing, and yawning.
  • The results showed that the AI classifier can successfully and accurately classify fetal facial expressions, potentially contributing to advancements in fetal brain development research using ultrasound technology.
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