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ChatGPT and Neuroprognostication: A Snow Globe, Not a Crystal Ball.

Authors :
Azamfirei, Razvan
Source :
Critical Care Medicine. Jun2024, Vol. 52 Issue 6, p992-994. 3p.
Publication Year :
2024

Abstract

The article examines the use of ChatGPT, a chatbot powered by a language model, in predicting outcomes for patients with traumatic brain injury (TBI). The study found that ChatGPT's predictions were less accurate than those of human clinicians and a validated prognostic model. The chatbot tended to overestimate the likelihood of poor outcomes, which could have negative implications for patient care. The article also discusses the limitations and ethical considerations of using AI models like ChatGPT in clinical decision-making. It references several other articles that explore the potential and limitations of AI in various medical applications, including glioma adjuvant therapy, drug information, and prognosis assessment in depression. However, caution and further research are advised when considering the use of AI in healthcare. [Extracted from the article]

Details

Language :
English
ISSN :
00903493
Volume :
52
Issue :
6
Database :
Academic Search Index
Journal :
Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
177480952
Full Text :
https://doi.org/10.1097/CCM.0000000000006265