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ChatGPT and GPT-4 in Ophthalmology: Applications of Large Language Model Artificial Intelligence in Retina

视网膜 计算机科学 验光服务 眼科 人工智能 医学 心理学 神经科学
作者
Joshua Ong,Seenu M. Hariprasad,Jay Chhablani
出处
期刊:Ophthalmic surgery, lasers & imaging retina 卷期号:54 (10): 557-562 被引量:7
标识
DOI:10.3928/23258160-20230926-01
摘要

Practical RetinaChatGPT and GPT-4 in Ophthalmology: Applications of Large Language Model Artificial Intelligence in Retina Joshua Ong, MD, ; , MD Seenu M. Hariprasad, MD, ; , MD Jay Chhablani, MD, , MD Joshua Ong, MD , Seenu M. Hariprasad, MD , and Jay Chhablani, MD Address correspondence to Jay Chhablani, MD, University of Pittsburgh School of Medicine, 3550 Terrace St., Pittsburgh, PA 15213; email: E-mail Address: [email protected]. Ophthalmic Surgery, Lasers and Imaging Retina, 2023;54(10):557–562Published Online:October 01, 2023https://doi.org/10.3928/23258160-20230926-01View Full TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail SectionsMore1.Padhy SK, Takkar B, Chawla R, Kumar A. Artificial intelligence in diabetic retinopathy: a natural step to the future. Indian J Ophthalmol. 2019; 67(7):1004–1009. 10.4103/ijo.IJO_1989_18 PMID:31238395 > Crossref MedlineGoogle Scholar2.Ong J, Hariprasad SM, Chhablani J. Into the retinaverse: a new frontier of retina in the metaverse. Ophthalmic Surg Lasers Imaging Retina. 2022; 53(11):595–600. 10.3928/23258160-20221017-01 PMID:36378613 > LinkGoogle Scholar3.Hogarty DT, Mackey DA, Hewitt AW. Current state and future prospects of artificial intelligence in ophthalmology: a review. Clin Exp Ophthalmol. 2019; 47(1):128–139. 10.1111/ceo.13381 PMID:30155978 > Crossref MedlineGoogle Scholar4.Ong J, Selvam A, Chhablani J. Artificial intelligence in ophthalmology: optimization of machine learning for ophthalmic care and research. Clin Exp Ophthalmol. 2021; 49(5):413–415. 10.1111/ceo.13952 PMID:34279854 > Crossref MedlineGoogle Scholar5.Wu D, Xiang Y, Wu Xet al.. Artificial intelligence-tutoring problem-based learning in ophthalmology clerkship. Ann Transl Med. 2020; 8(11):700. 10.21037/atm.2019.12.15 PMID:32617320 > Crossref MedlineGoogle Scholar6.The Lancet Digital Health. ChatGPT: friend or foe? Lancet Digit Health. 2023; 5(3):e102. 10.1016/S2589-7500(23)00023-7 PMID:36754723 > Crossref MedlineGoogle Scholar7.Stokel-Walker C, Van Noorden R. What ChatGPT and generative AI mean for science. Nature. 2023; 614(7947):214–216. 10.1038/d41586-023-00340-6 PMID:36747115 > Crossref MedlineGoogle Scholar8.De Angelis L, Baglivo F, Arzilli Get al.. ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health. Front Public Health. 2023; 11:1166120. 10.3389/fpubh.2023.1166120 PMID:37181697 > Crossref MedlineGoogle Scholar9.Gilson A, Safranek CW, Huang Tet al.. How does Chat-GPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023; 9:e45312. 10.2196/45312 PMID:36753318 > Crossref MedlineGoogle Scholar10.Chatterjee J, Dethlefs N. This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns (N Y). 2023; 4(1):100676. 10.1016/j.patter.2022.100676 PMID:36699746 > Crossref MedlineGoogle Scholar11.Liu S, Wright AP, Patterson BLet al.. Using AI-generated suggestions from ChatGPT to optimize clinical decision support. J Am Med Inform Assoc. 2023; 30(7):1237–1245. 10.1093/jamia/ocad072 PMID:37087108 > Crossref MedlineGoogle Scholar12.Cohen SA, Pershing S. Readability and accountability of online patient education materials for common retinal diseases. Ophthalmol Retina. 2022; 6(7):641–643. 10.1016/j.oret.2022.03.015 PMID:35338025 > Crossref MedlineGoogle Scholar13.Potapenko I, Boberg-Ans LC, Stormly Hansen M, Klefter ON, van Dijk EHC, Subhi Y. Artificial intelligence-based chatbot patient information on common retinal diseases using ChatGPT. Acta Ophthalmol. 2023;aos.15661. 10.1111/aos.15661 PMID:36912780 > Crossref MedlineGoogle Scholar14.Lin CC, Li AS, Ma Het al.. Successful interventions to improve efficiency and reduce patient visit duration in a retina practice. Retina. 2021; 41(10):2157–2162. 10.1097/IAE.0000000000003169 PMID:33758134 > Crossref MedlineGoogle Scholar15.Ong J, Hariprasad SM, Chhablani J. A guide to accessible artificial intelligence and machine learning for the 21st century retina specialist. Ophthalmic Surg Lasers Imaging Retina. 2021; 52(7):361–365. 10.3928/23258160-20210628-01 PMID:34309429 > LinkGoogle Scholar16.Ong J, Tan G, Ang M, Chhablani J. Digital advancements in retinal models of care in the post-COVID-19 lockdown era. Asia Pac J Ophthalmol (Phila). 2022; 11(5):403–407. 10.1097/APO.0000000000000533 PMID:36094383 > Crossref MedlineGoogle Scholar17.Singh S, Djalilian A, Ali MJ. ChatGPT and ophthalmology: exploring its potential with discharge summaries and operative notes. Semin Ophthalmol. 2023; 38(5):503–507. 10.1080/08820538.2023.2209166 PMID:37133418 > Crossref MedlineGoogle Scholar18.Valentín-Bravo FJ, Mateos-Álvarez E, Usategui-Martín R, Andrés-Iglesias C, Pastor-Jimeno JC, Pastor-Idoate S. Artificial intelligence and new language models in ophthalmology: complications of the use of silicone oil in vitreoretinal surgery. Arch Soc Esp Oftalmol (Engl Ed). 2023; 98(5):298–303. 10.1016/j.oftale.2023.04.011 PMID:37094759 > Crossref MedlineGoogle Scholar19.Mihalache A, Popovic MM, Muni RH. Performance of an artificial intelligence chatbot in ophthalmic knowledge assessment. JAMA Ophthalmol. 2023; 141(6):589–597. 10.1001/jamaophthalmol.2023.1144 PMID:37103928 > Crossref MedlineGoogle Scholar20.Antaki F, Touma S, Milad D, El-Khoury J, Duval R. Evaluating the performance of ChatGPT in ophthalmology: an analysis of its successes and shortcomings. Ophthalmol Sci. 2023; 3(4):100324. 10.1016/j.xops.2023.100324 PMID:37334036 > Crossref MedlineGoogle Scholar21.Lee P, Bubeck S, Petro J. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine. N Engl J Med. 2023; 388(13):1233–1239. 10.1056/NEJM-sr2214184 PMID:36988602 > Crossref MedlineGoogle Scholar22.Selvam A, Singh SR, Arora Set al.. Pigment epithelial detachment composition indices (PEDCI) in neovascular age-related macular degeneration. Sci Rep. 2023; 13(1):68. 10.1038/s41598-022-27078-x PMID:36593323 > Crossref MedlineGoogle Scholar23.Ong J, Zarnegar A, Corradetti G, Singh SR, Chhablani J. Advances in optical coherence tomography imaging technology and techniques for choroidal and retinal disorders. J Clin Med. 2022; 11(17):5139. 10.3390/jcm11175139 PMID:36079077 > Crossref MedlineGoogle Scholar24.Ly T, Reynolds R. OCT angiography (OCTA): investigating real-world experience in neovascular AMD new patient clinic when using OCTA compared to the gold standard FFA. Clin Med (Lond). 2020; 20(suppl 2):s112. 10.7861/clinmed.20-2-s112 PMID:32409415 > Crossref MedlineGoogle Scholar25.Sahoo NK, Ong J, Selvam Aet al.. Ten-year follow-up and sequential evaluation of multifocal retinal pigment epithelium abnormalities in central serous chorioretinopathy. Graefes Arch Clin Exp Ophthalmol. 2023; 261(7):1883–1891. 10.1007/s00417-023-05985-7 PMID:36738347 > Crossref MedlineGoogle Scholar26.de Barros Garcia JMB, Isaac DLC, Avila M. Diabetic retinopathy and OCT angiography: clinical findings and future perspectives. Int J Retina Vitreous. 2017; 3(1):14. 10.1186/s40942-017-0062-2 PMID:28293432 > Crossref MedlineGoogle Scholar Next article FiguresReferencesRelatedDetails Request Permissions InformationCopyright 2023, SLACK IncorporatedPDF download • 458.1 KBAddress correspondence to Jay Chhablani, MD, University of Pittsburgh School of Medicine, 3550 Terrace St., Pittsburgh, PA 15213; email: jay.chhablani@gmail.com.From the Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan (JO), the Department of Ophthalmology and Visual Science, University of Chicago, Chicago, IL (SMH), and the Eye & Ear Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA (JC).Financial disclosures: SMH is a consultant for Eye Point, Allergan, Alcon, and Alimera Sciences, and participated on the Speaker Bureau for Eye Point, Allergan, Alimera Sciences, Biogen, Bausch + Lomb, and Regeneron. JC receives consulting fees from Allergan, Salutaris, and Biogen. The remaining author has no relevant financial relationships to disclose. Received5/18/23Accepted9/13/23Published online10/01/23
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