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AI model developed for endotracheal tube placements in children

A group from Seoul, South Korea, used patient chest x-rays to develop an AI algorithm that appears to reduce the risk of inappropriate placement. They suggested it could be helpful to clinicians unfamiliar with the procedure.

“Endotracheal tube (ET) misplacement is common in pediatric patients, which can lead to serious complication. It would be helpful if there is an easy-to-use tool to predict the optimal ET depth considering each patient’s characteristics,” noted co-first authors Drs. Jae-Geum Shim of Kangbuk Samsung Hospital and Eun Kyung Lee of Chung-Ang University Hospital, and…

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