Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment.
Bard
ChatGPT
Google
artificial intelligence
chatbot
radiology
Journal
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
ISSN: 1488-2361
Titre abrégé: Can Assoc Radiol J
Pays: United States
ID NLM: 8812910
Informations de publication
Date de publication:
14 Aug 2023
14 Aug 2023
Historique:
pubmed:
14
8
2023
medline:
14
8
2023
entrez:
14
8
2023
Statut:
aheadofprint
Résumé
Bard by Google, a direct competitor to ChatGPT, was recently released. Understanding the relative performance of these different chatbots can provide important insight into their strengths and weaknesses as well as which roles they are most suited to fill. In this project, we aimed to compare the most recent version of ChatGPT, ChatGPT-4, and Bard by Google, in their ability to accurately respond to radiology board examination practice questions. Text-based questions were collected from the 2017-2021 American College of Radiology's Diagnostic Radiology In-Training (DXIT) examinations. ChatGPT-4 and Bard were queried, and their comparative accuracies, response lengths, and response times were documented. Subspecialty-specific performance was analyzed as well. 318 questions were included in our analysis. ChatGPT answered significantly more accurately than Bard (87.11% vs 70.44%, ChatGPT displayed superior radiology knowledge compared to Bard. While both chatbots display reasonable radiology knowledge, they should be used with conscious knowledge of their limitations and fallibility. Both chatbots provided incorrect or illogical answer explanations and did not always address the educational content of the question.
Identifiants
pubmed: 37578849
doi: 10.1177/08465371231193716
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM