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Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen

INTRODUCTION: Optic disc drusen (ODD) are acellular deposits in the optic nerve head, which are most often benign and asymptomatic. Patients may develop visual field defects and be at increased risk of ischemic co-morbidities. As ODD can be difficult to distinguish from papilledema, patients are at...

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Autores principales: Potapenko, Ivan, Malmqvist, Lasse, Subhi, Yousif, Hamann, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640407/
https://www.ncbi.nlm.nih.gov/pubmed/37698823
http://dx.doi.org/10.1007/s40123-023-00800-2
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author Potapenko, Ivan
Malmqvist, Lasse
Subhi, Yousif
Hamann, Steffen
author_facet Potapenko, Ivan
Malmqvist, Lasse
Subhi, Yousif
Hamann, Steffen
author_sort Potapenko, Ivan
collection PubMed
description INTRODUCTION: Optic disc drusen (ODD) are acellular deposits in the optic nerve head, which are most often benign and asymptomatic. Patients may develop visual field defects and be at increased risk of ischemic co-morbidities. As ODD can be difficult to distinguish from papilledema, patients are at risk of unnecessary clinical workups. Patient information is a key aspect of ODD management. In this study, we explored the accuracy of ChatGPT responses for typical patient questions on ODD. METHODS: Two content experts reached consensus on 20 typical patient questions. We retrieved five separate responses for each question from ChatGPT, totaling 100 responses. Each response was evaluated on a 5-point Likert-scale on accuracy by each content expert in an individual fashion. RESULTS: The two experts were in fair/substantial agreement in the evaluation of responses (Cronbach’s alpha: 0.64). Of the 100 responses, 17 were relevant and without any inaccuracies, 78 were relevant and with inaccuracies not being harmful, and five were relevant and with inaccuracies potentially harmful. The lowest accuracy scores were obtained for questions dealing with treatment and prognosis. CONCLUSIONS: ChatGPT often provides relevant answers for patient questions on ODD, but inaccuracies become potentially harmful when questions deal with treatment and prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40123-023-00800-2.
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spelling pubmed-106404072023-11-15 Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen Potapenko, Ivan Malmqvist, Lasse Subhi, Yousif Hamann, Steffen Ophthalmol Ther Original Research INTRODUCTION: Optic disc drusen (ODD) are acellular deposits in the optic nerve head, which are most often benign and asymptomatic. Patients may develop visual field defects and be at increased risk of ischemic co-morbidities. As ODD can be difficult to distinguish from papilledema, patients are at risk of unnecessary clinical workups. Patient information is a key aspect of ODD management. In this study, we explored the accuracy of ChatGPT responses for typical patient questions on ODD. METHODS: Two content experts reached consensus on 20 typical patient questions. We retrieved five separate responses for each question from ChatGPT, totaling 100 responses. Each response was evaluated on a 5-point Likert-scale on accuracy by each content expert in an individual fashion. RESULTS: The two experts were in fair/substantial agreement in the evaluation of responses (Cronbach’s alpha: 0.64). Of the 100 responses, 17 were relevant and without any inaccuracies, 78 were relevant and with inaccuracies not being harmful, and five were relevant and with inaccuracies potentially harmful. The lowest accuracy scores were obtained for questions dealing with treatment and prognosis. CONCLUSIONS: ChatGPT often provides relevant answers for patient questions on ODD, but inaccuracies become potentially harmful when questions deal with treatment and prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40123-023-00800-2. Springer Healthcare 2023-09-12 2023-12 /pmc/articles/PMC10640407/ /pubmed/37698823 http://dx.doi.org/10.1007/s40123-023-00800-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Potapenko, Ivan
Malmqvist, Lasse
Subhi, Yousif
Hamann, Steffen
Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title_full Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title_fullStr Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title_full_unstemmed Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title_short Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen
title_sort artificial intelligence-based chatgpt responses for patient questions on optic disc drusen
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640407/
https://www.ncbi.nlm.nih.gov/pubmed/37698823
http://dx.doi.org/10.1007/s40123-023-00800-2
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