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GenAI Exceeds Clinical Experts in Predicting Acute Kidney Injury following Paediatric Cardiopulmonary Bypass

2025-04-29

Abstract excerpt

<title>Abstract</title> <p>The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in predicting postoperative acute kidney injury (AKI) in paediatric cardiopulmonary bypass (CPB) patients using electronic health record (EHR...

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Literature Corpus work
798010da-d108-5064-8db6-cab1f3772073
DOI
10.21203/rs.3.rs-5370136/v1
Open publication

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GenAI Exceeds Clinical Experts in Predicting Acute Kidney Injury following Paediatric Cardiopulmonary BypassDOI 10.21203/rs.3.rs-5370136/v1
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