Evaluation of ChatGPT in Predicting 6-Month Outcomes After Traumatic Brain Injury*

1 CHU de Caen Normandie, Department of Anesthesiology and Critical Care Medicine, Caen, France.

2 Normandie Univ, UNICAEN, INSERM, U1237, PhIND “Physiopathology and imaging of Neurological Disorders”, Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.

3 Normandie Univ, UNICAEN, ENSICAEN, CNRS, Department of Groupe de Recherche en Informatique, Image, et Instrumentation de Caen (GREYC), Caen, France.

4 CHU de Caen Normandie, Department of Public Health, Caen, France.

5 Normandie Univ, UNICAEN, INSERM U1086, ANTICIPE, Caen, France.

6 Department of Anaesthesiology and Critical Care, Beaujon Hospital, DMU Parabol, AP-HP Nord, Paris, France.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/ccmjournal).

The authors have disclosed that they do not have any potential conflicts of interest.

Data supporting the findings of this study (including the prompts submitted to ChatGPT and ChatGPT’s answers) are available from the corresponding author (Dr. Gakuba).

*See also p. 992.

For information regarding this article, E-mail: [email protected]

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