Article
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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Identifiers and source
- Literature Corpus work
- 798010da-d108-5064-8db6-cab1f3772073
- DOI
- 10.21203/rs.3.rs-5370136/v1
