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Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology

ChatGPT, a large language model by OpenAI, has been adopted in various domains since its release in November 2022, but its application in ophthalmology remains less explored. This editorial assesses ChatGPT's potential applications and limitations in ophthalmology across clinical, educational,...

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Detalles Bibliográficos
Autores principales: Dossantos, Jason, An, Jella, Javan, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362525/
https://www.ncbi.nlm.nih.gov/pubmed/37485160
http://dx.doi.org/10.7759/cureus.40765
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author Dossantos, Jason
An, Jella
Javan, Ramin
author_facet Dossantos, Jason
An, Jella
Javan, Ramin
author_sort Dossantos, Jason
collection PubMed
description ChatGPT, a large language model by OpenAI, has been adopted in various domains since its release in November 2022, but its application in ophthalmology remains less explored. This editorial assesses ChatGPT's potential applications and limitations in ophthalmology across clinical, educational, and research settings. In clinical settings, ChatGPT can serve as an assistant, offering diagnostic and therapeutic suggestions based on patient data and assisting in patient triage. However, its tendencies to generate inaccurate results and its inability to keep up with recent medical guidelines render it unsuitable for standalone clinical decision-making. Data security and compliance with the Health Insurance Portability and Accountability Act (HIPAA) also pose concerns, given ChatGPT’s potential to inadvertently expose sensitive patient information. In education, ChatGPT can generate practice questions, provide explanations, and create patient education materials. However, its performance in answering domain-specific questions is suboptimal. In research, ChatGPT can facilitate literature reviews, data analysis, manuscript development, and peer review, but issues of accuracy, bias, and ethics need careful consideration. Ultimately, ensuring accuracy, ethical integrity, and data privacy is essential when integrating ChatGPT into ophthalmology.
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spelling pubmed-103625252023-07-23 Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology Dossantos, Jason An, Jella Javan, Ramin Cureus Ophthalmology ChatGPT, a large language model by OpenAI, has been adopted in various domains since its release in November 2022, but its application in ophthalmology remains less explored. This editorial assesses ChatGPT's potential applications and limitations in ophthalmology across clinical, educational, and research settings. In clinical settings, ChatGPT can serve as an assistant, offering diagnostic and therapeutic suggestions based on patient data and assisting in patient triage. However, its tendencies to generate inaccurate results and its inability to keep up with recent medical guidelines render it unsuitable for standalone clinical decision-making. Data security and compliance with the Health Insurance Portability and Accountability Act (HIPAA) also pose concerns, given ChatGPT’s potential to inadvertently expose sensitive patient information. In education, ChatGPT can generate practice questions, provide explanations, and create patient education materials. However, its performance in answering domain-specific questions is suboptimal. In research, ChatGPT can facilitate literature reviews, data analysis, manuscript development, and peer review, but issues of accuracy, bias, and ethics need careful consideration. Ultimately, ensuring accuracy, ethical integrity, and data privacy is essential when integrating ChatGPT into ophthalmology. Cureus 2023-06-21 /pmc/articles/PMC10362525/ /pubmed/37485160 http://dx.doi.org/10.7759/cureus.40765 Text en Copyright © 2023, Dossantos et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Ophthalmology
Dossantos, Jason
An, Jella
Javan, Ramin
Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title_full Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title_fullStr Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title_full_unstemmed Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title_short Eyes on AI: ChatGPT's Transformative Potential Impact on Ophthalmology
title_sort eyes on ai: chatgpt's transformative potential impact on ophthalmology
topic Ophthalmology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362525/
https://www.ncbi.nlm.nih.gov/pubmed/37485160
http://dx.doi.org/10.7759/cureus.40765
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