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Robust preoperative and holistic prediction of hypoxemia in gastrointestinal endoscopy under sedation using machine learning: a retrospective study

2026-06-21

Abstract excerpt

<title>Abstract</title> <p>Background In gastrointestinal endoscopy (GIE), the growing use of sedation and anesthesia often leads to intraoperative hypoxemia, escalating the risk of respiratory, renal, and cardiovascular complications. Providing anesthesiologists with a machine learning (ML) model tailored for GIE patients is essential for mitigating these risks. Methods A cohort of patients who underwent painl...

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Literature Corpus work
ab1acd91-f587-566b-97da-b94f1104220a
DOI
10.21203/rs.3.rs-9685417/v1
Open publication

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Robust preoperative and holistic prediction of hypoxemia in gastrointestinal endoscopy under sedation using machine learning: a retrospective studyDOI 10.21203/rs.3.rs-9685417/v1
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