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Clinical Trial Summary

For children aged 6 months to 10 years old under general anesthesia, intraoperative lung ultrasound pictures are acquired, grades are evaluated for each pictures and machine learning is used to learn and apply it.


Clinical Trial Description

1. routine general anesthesia is performed in the selected children. 2. After mechanical ventilation, the degree of lung atelectasis is evaluated using transthoracic lung ultrasonography in the anterior, lateral, posterior regions of the upper and lower points of both lungs(a total of 12 regions). 3. Atelectasis is checked by the presence of B-line and juxta pleural consolidation. 4. Machine learning is used to educate the photos of 70 people and grading system, and process is checked whether it applies well to the photos of the remaining 30 people. ;


Study Design


NCT number NCT05069337
Study type Observational
Source Yonsei University
Contact Hyo Jin Byon
Phone 82-2-2228-2407
Email JINOBEN@YUHS.AC
Status Recruiting
Phase
Start date August 24, 2021
Completion date March 2024