Predictive AI Model for Endotracheal Intubation Timing in Critically Ill Patients

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초록

Endotracheal intubation is used in critically ill patients to provide oxygen and apply mechanical ventilation, and identifying the exact timing of intubation plays a crucial role in the patient's prognosis. We developed an artificial intelligence-based model to predict the timing of intubation. We found that the predictive performance of our developed GRU-D++ model was the best among various models. © 2025 The Authors.

키워드

Artificial intelligence; Critically ill patient; Endotracheal intubation
제목
Predictive AI Model for Endotracheal Intubation Timing in Critically Ill Patients
저자
Heo, Yeonjeong; Kim, Minkyu; Kim, Tae-Hoon; Kim, Dohyun; Moon, Da Hye; Choi, Hyun-Soo; Han, Seon-Sook
DOI
10.3233/SHTI251242
발행일
2025-08-07
유형
Proceedings Paper
저널명
Studies in Health Technology and Informatics
권
329
페이지
1842 ~ 1843