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Predictive AI Model for Endotracheal Intubation Timing in Critically Ill Patients
- Heo, Yeonjeong;
- Kim, Minkyu;
- Kim, Tae-Hoon;
- Kim, Dohyun;
- Moon, Da Hye;
- ... Han, Seon-Sook;
- 외 1명
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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
- 발행일
- 2025-08-07
- 유형
- Proceedings Paper
- 권
- 329
- 페이지
- 1842 ~ 1843
- 언어
- ENG
- 출판사
- IOS Press BV
- 분량
- 2 페이지
- ISSN
- E 1879-8365
P 0926-9630