GPT-4 as a source of patient information for cervical disc arthroplasty: a comparative analysis against Google web search
Year: 2025
Type: article
Abstract: Background: With the increasing use of artificial intelligence (AI) chatbots like ChatGPT for online patient education, Generative Pre-trained Transformer 4 (GPT-4) has emerged as a significant tool for providing accurate health information. This study aims to compare Google and GPT-4 in terms of (I) question types, (II) initial response readability, (III) ChatGPT's ability to modify responses for increased readability, and (IV) numerical response accuracy for the top 10 most frequently asked questions (FAQs) related to cervical disc arthroplasty (CDA). Methods: -tests for a comparative analysis between GPT-4 and Google, setting significance at P<0.05. Results: 40.05, P<0.001). Numerically, 60% of responses differed, with GPT-4 suggesting a broader recovery period for CDA. Conclusions: GPT-4 has the potential to enhance patient education about CDA by customizing complex information for users with lower health literacy levels. This highlights GPT-4's ability to address existing gaps in online resources, benefiting those with lower health literacy.
Source: Journal of Spine Surgery
DOI: 10.21037/jss-25-47
Authors: Paul G. Mastrokostas, Leonidas E. Mastrokostas, Ahmed K. Emara, Mena Salman, Ian J. Wellington, Elizabeth Ginalis, Jonathan Dalton, John K. Houten, Amrit S. Khalsa, Ahmed Saleh, Afshin E. Razi, Mitchell K. Ng
Institutions: Maimonides Medical Center, SUNY Downstate Health Sciences University, Cleveland Clinic, University of Toledo, University of Connecticut, Rutgers, The State University of New Jersey, Rutgers Health, Thomas Jefferson University Hospital, Rothman Orthopaedics, Icahn School of Medicine at Mount Sinai, University of Pennsylvania
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4414136040