High consistency between recommendations by a pulmonary specialist and ChatGPT for the management of a patient with non-resolving pneumonia-Reference-Cited by-同舟云学术

High consistency between recommendations by a pulmonary specialist and ChatGPT for the management of a patient with non-resolving pneumonia

Published:2023-05-17 Issue:1 Volume:1 Page:
ISSN:2831-8994
Container-title:Norton Healthcare Medical Journal
language:en
Short-container-title:

Author:

Chirino Alejandro¹,Wiemken Timothy²,Furmanek Stephen³,Mattingly William³,Chandler Thomas³,Cabral Guillermo⁴,Cavallazzi Rodrigo⁵,Carrico Ruth⁵,Ramirez Julio³

Affiliation:

1. Respira Salud. Clínica Integral and Hospital Italiano de Mendoza

2. Saint Louis University

3. Norton Healthcare

4. Hospital Rossi, La Plata, Argentina

5. University of Louisville

Abstract

The use of artificial intelligence in healthcare is rapidly growing, with great potential to assist medical professionals in diagnosis and treatment of complex medical conditions. In this case report, the recommendations of a pulmonary consultation are compared to the recommendations from a large language model (LLM), ChatGPT, in regards to a case of non-resolving pneumonia. The recommendations by ChatGPT were found to be consistent with the pulmonary consultation, and no recommendations given were inappropriate. As shown in this case report, early generations of LLM such as ChatGPT were able to provide appropriate recommendations for the management of a patient with a complex medical condition.

Publisher

Norton Healthcare

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