Leveraging AI-based prediction in perioperative and critical care: from model development to clinical implementation

<table><tbody><tr><td> In this dissertation, the potential of Artificial Intelligence (AI) for predicting patient outcomes in perioperative and critical care was investigated. The chapters of this dissertation align with the AI development and evaluation trajectory, ranging from (data) preparations to implementing and governing AI. The main use case discussed throughout this dissertation was PERISCOPE, an AI tool predicting the risk of postoperative infection within 7- and 30-days of surgery. </td></tr></tbody></table>

Publication Details

Journal
Leiden Repository (Leiden University)
Published
2025-01-01
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Leveraging AI-based prediction in perioperative and critical care: from model development to clinical implementation

Leiden Repository (Leiden University)
Artificial Intelligence in Healthcare and Education
article

Leveraging AI-based prediction in perioperative and critical care: from model development to clinical implementation

article en

Abstract

<table><tbody><tr><td> In this dissertation, the potential of Artificial Intelligence (AI) for predicting patient outcomes in perioperative and critical care was investigated. The chapters of this dissertation align with the AI development and evaluation trajectory, ranging from (data) preparations to implementing and governing AI. The main use case discussed throughout this dissertation was PERISCOPE, an AI tool predicting the risk of postoperative infection within 7- and 30-days of surgery. </td></tr></tbody></table>

Leiden Repository (Leiden University)
Openalex Percentile: Top 53%
Artificial Intelligence in Healthcare and Education
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Leveraging AI-based prediction in perioperative and critical care: from model development to clinical implementation · Leiden Repository (Leiden University) (2025) | TGRS Research Map | TGRS