Publications by authors named "Jiezhi Yao"
Article Synopsis
- The study aimed to set standard ranges for measuring the brain markers of babies in the womb during the first three months of pregnancy and created a new AI tool to do this automatically.
- Researchers looked at ultrasound images of 4,233 healthy pregnant women and analyzed 10 important brain features of the babies.
- The AI tool was super fast, measuring in just 0.49 seconds, and was very accurate, matching human measurements really well and helping find abnormal cases 100% of the time.
Objective: To develop an algorithm for the automated localization and measurement of levator hiatus (LH) dimensions (AI-LH) using 3-D pelvic floor ultrasound.
Methods: The AI-LH included a 3-D plane regression model and a 2-D segmentation model, which first achieved automated localization of the minimal LH dimension plane (C-plane) and measurement of the hiatal area (HA) on maximum Valsalva on the rendered LH images, but not on the C-plane. The dataset included 600 volumetric data.