Readability, quality and accuracy of generative artificial intelligence chatbots for commonly asked questions about labor epidurals: a comparison of ChatGPT and Bard.

Journal: International journal of obstetric anesthesia

PMID: 39754839

Abstract

INTRODUCTION: Over 90% of pregnant women and 76% expectant fathers search for pregnancy health information. We examined readability, accuracy and quality of answers to common obstetric anesthesia questions from the popular generative artificial intelligence (AI) chatbots ChatGPT and Bard.

Authors

D Lee

Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, Seongnam-si, Korea.
M Brown

Fiona Stanley Hospital, Perth, Australia.
J Hammond

Department of Anesthesiology, 8700 Beverly Blvd #4209, Cedars-Sinai Medical Center, Los Angeles, CA 90064, United States.
M Zakowski

Department of Anesthesiology, 8700 Beverly Blvd #4209, Cedars-Sinai Medical Center, Los Angeles, CA 90064, United States. Electronic address: Mark.Zakowski@cshs.org.

Keywords

Artificial Intelligence Comprehension Female Generative Artificial Intelligence Health Literacy Humans Patient Education as Topic Pregnancy

External Resources

View on PubMed Access via DOI PubMed (39754839)

Readability, quality and accuracy of generative artificial intelligence chatbots for commonly asked questions about labor epidurals: a comparison of ChatGPT and Bard.

Abstract

Authors

Keywords

External Resources

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