Article

GenAI Exceeds Clinical Experts in Predicting Acute Kidney Injury following Paediatric Cardiopulmonary Bypass<sup>2</sup>

2024-05-15

Abstract excerpt

The emergence of large language models (LLMs) offers new opportunities to leverage, often unused, information in clinical text. This study examines 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) text, and to explore methods for explaining their output. AKI is a significan...

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Literature Corpus work: 1114b52f-0343-5f88-84d8-7c3d9c4dfe72
DOI: 10.1101/2024.05.14.24307372

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