亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hello应助Grayball采纳,获得30
3秒前
12秒前
35秒前
Grayball发布了新的文献求助30
39秒前
1分钟前
Fox完成签到 ,获得积分10
2分钟前
Magali发布了新的文献求助10
2分钟前
Legoxpy完成签到,获得积分20
2分钟前
鬼见愁应助科研通管家采纳,获得20
2分钟前
4分钟前
爱静静完成签到,获得积分0
5分钟前
年鱼精完成签到 ,获得积分10
5分钟前
远方关注了科研通微信公众号
5分钟前
6分钟前
Magali发布了新的文献求助30
6分钟前
6分钟前
8分钟前
耶嘿发布了新的文献求助20
8分钟前
Raunio完成签到,获得积分10
8分钟前
李剑鸿发布了新的文献求助500
9分钟前
和谐板栗完成签到 ,获得积分10
9分钟前
9分钟前
李伟发布了新的文献求助10
9分钟前
科研通AI2S应助李伟采纳,获得10
9分钟前
10分钟前
10分钟前
10分钟前
10分钟前
小杜发布了新的文献求助10
10分钟前
赘婿应助科研通管家采纳,获得10
10分钟前
大模型应助兴奋的嘉懿采纳,获得10
11分钟前
所所应助Billy采纳,获得10
11分钟前
11分钟前
11分钟前
叶十七发布了新的文献求助10
11分钟前
李剑鸿发布了新的文献求助500
12分钟前
小布完成签到 ,获得积分10
12分钟前
叶十七完成签到,获得积分10
12分钟前
12分钟前
Hello应助叶十七采纳,获得10
12分钟前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
En el país de los chinos. Relaciones sino-españolas y cosmopolitismo periférico. 1850-1950 500
叶剑英与华南分局档案史料 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3146739
求助须知:如何正确求助?哪些是违规求助? 2798045
关于积分的说明 7826565
捐赠科研通 2454548
什么是DOI,文献DOI怎么找? 1306376
科研通“疑难数据库(出版商)”最低求助积分说明 627708
版权声明 601527