Prediction of outcomes after cardiac arrest by a generative artificial intelligence model

Prediction of outcomes after cardiac arrest by a generative artificial intelligence model

Aims: To investigate the prognostic accuracy of a non-medical generative artificial intelligence model (Chat Generative Pre-Trained Transformer 4 - ChatGPT-4) as a novel aspect in predicting death and poor neurological outcome at hospital discharge based on real-life data from cardiac arrest patient...

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Main Authors: Simon A. Amacher, Armon Arpagaus, Christian Sahmer, Christoph Becker, Sebastian Gross, Tabita Urben, Kai Tisljar, Raoul Sutter, Stephan Marsch, Sabina Hunziker
格式: 文件
语言:English
出版: Elsevier 2024-06-01
丛编:Resuscitation Plus
主题:
Artificial intelligence
Cardiac arrest
Cardiopulmonary resuscitation
Mortality prediction
Neurological outcome
在线阅读:http://www.sciencedirect.com/science/article/pii/S2666520424000389

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http://www.sciencedirect.com/science/article/pii/S2666520424000389

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