Efficacy and Efficiency of Artificial Intelligence-based Preoperative Anesthesia Evaluation: A Randomized Controlled Non-Inferiority Study

Abstract excerpt

<title>Abstract</title> <p><italic><bold>Study Objective:</bold></italic><bold> </bold>To evaluate the clinical effectiveness and feasibility of a novel AI-assisted anesthesia evaluation system compared with conventional preoperative anesthesia assessments. <italic><bold>Design: </bold></italic>Single-center, randomized, parallel-group, open-label, non-inferiority trial. <italic><bold>Patients: </bold></italic>60...

Topics

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• Critical Care
• Electronic Health Records
• Hospital Mortality
• Intensive Care Units
• Length of Stay
• Machine Learning
• Phenotype
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

5c9c8330-69ad-5851-b9e9-ae0787ba5eca

DOI

10.21203/rs.3.rs-7364932/v1