156 related articles for article (PubMed ID: 37781591)
1. ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports.
Madadi Y; Delsoz M; Lao PA; Fong JW; Hollingsworth TJ; Kahook MY; Yousefi S
medRxiv; 2023 Sep; ():. PubMed ID: 37781591
[TBL] [Abstract][Full Text] [Related]
2. The Use of ChatGPT to Assist in Diagnosing Glaucoma Based on Clinical Case Reports.
Delsoz M; Raja H; Madadi Y; Tang AA; Wirostko BM; Kahook MY; Yousefi S
Ophthalmol Ther; 2023 Dec; 12(6):3121-3132. PubMed ID: 37707707
[TBL] [Abstract][Full Text] [Related]
3. Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of Its Successes and Shortcomings.
Antaki F; Touma S; Milad D; El-Khoury J; Duval R
Ophthalmol Sci; 2023 Dec; 3(4):100324. PubMed ID: 37334036
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions.
Bernstein IA; Zhang YV; Govil D; Majid I; Chang RT; Sun Y; Shue A; Chou JC; Schehlein E; Christopher KL; Groth SL; Ludwig C; Wang SY
JAMA Netw Open; 2023 Aug; 6(8):e2330320. PubMed ID: 37606922
[TBL] [Abstract][Full Text] [Related]
5. Performance of ChatGPT in Diagnosis of Corneal Eye Diseases.
Delsoz M; Madadi Y; Munir WM; Tamm B; Mehravaran S; Soleimani M; Djalilian A; Yousefi S
medRxiv; 2023 Aug; ():. PubMed ID: 37720035
[TBL] [Abstract][Full Text] [Related]
6. Utility of artificial intelligence-based large language models in ophthalmic care.
Biswas S; Davies LN; Sheppard AL; Logan NS; Wolffsohn JS
Ophthalmic Physiol Opt; 2024 May; 44(3):641-671. PubMed ID: 38404172
[TBL] [Abstract][Full Text] [Related]
7. The Comparison of ChatGPT 3.5, Microsoft Bing, and Google Gemini for Diagnosing Cases of Neuro-Ophthalmology.
Shukla R; Mishra AK; Banerjee N; Verma A
Cureus; 2024 Apr; 16(4):e58232. PubMed ID: 38745784
[TBL] [Abstract][Full Text] [Related]
8. ChatGPT and Beyond: An overview of the growing field of large language models and their use in ophthalmology.
Kedia N; Sanjeev S; Ong J; Chhablani J
Eye (Lond); 2024 May; 38(7):1252-1261. PubMed ID: 38172581
[TBL] [Abstract][Full Text] [Related]
9. Evaluating ChatGPT-4's Diagnostic Accuracy: Impact of Visual Data Integration.
Hirosawa T; Harada Y; Tokumasu K; Ito T; Suzuki T; Shimizu T
JMIR Med Inform; 2024 Apr; 12():e55627. PubMed ID: 38592758
[TBL] [Abstract][Full Text] [Related]
10. Can Artificial Intelligence Mitigate Missed Diagnoses by Generating Differential Diagnoses for Neurosurgeons?
Kumar RP; Sivan V; Bachir H; Sarwar SA; Ruzicka F; O'Malley GR; Lobo P; Morales IC; Cassimatis ND; Hundal JS; Patel NV
World Neurosurg; 2024 May; ():. PubMed ID: 38759788
[TBL] [Abstract][Full Text] [Related]
11. Exploring large language model for next generation of artificial intelligence in ophthalmology.
Jin K; Yuan L; Wu H; Grzybowski A; Ye J
Front Med (Lausanne); 2023; 10():1291404. PubMed ID: 38076260
[TBL] [Abstract][Full Text] [Related]
12. Development and Evaluation of Aeyeconsult: A Novel Ophthalmology Chatbot Leveraging Verified Textbook Knowledge and GPT-4.
Singer MB; Fu JJ; Chow J; Teng CC
J Surg Educ; 2024 Mar; 81(3):438-443. PubMed ID: 38135548
[TBL] [Abstract][Full Text] [Related]
13. Collaborative Enhancement of Consistency and Accuracy in US Diagnosis of Thyroid Nodules Using Large Language Models.
Wu SH; Tong WJ; Li MD; Hu HT; Lu XZ; Huang ZR; Lin XX; Lu RF; Lu MD; Chen LD; Wang W
Radiology; 2024 Mar; 310(3):e232255. PubMed ID: 38470237
[TBL] [Abstract][Full Text] [Related]
14. Performance of ChatGPT in Diagnosis of Corneal Eye Diseases.
Delsoz M; Madadi Y; Raja H; Munir WM; Tamm B; Mehravaran S; Soleimani M; Djalilian A; Yousefi S
Cornea; 2024 May; 43(5):664-670. PubMed ID: 38391243
[TBL] [Abstract][Full Text] [Related]
15. Assessment of a Large Language Model's Responses to Questions and Cases About Glaucoma and Retina Management.
Huang AS; Hirabayashi K; Barna L; Parikh D; Pasquale LR
JAMA Ophthalmol; 2024 Apr; 142(4):371-375. PubMed ID: 38386351
[TBL] [Abstract][Full Text] [Related]
16. Benchmarking large language models' performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard.
Lim ZW; Pushpanathan K; Yew SME; Lai Y; Sun CH; Lam JSH; Chen DZ; Goh JHL; Tan MCJ; Sheng B; Cheng CY; Koh VTC; Tham YC
EBioMedicine; 2023 Sep; 95():104770. PubMed ID: 37625267
[TBL] [Abstract][Full Text] [Related]
17. ChatGPT-Generated Differential Diagnosis Lists for Complex Case-Derived Clinical Vignettes: Diagnostic Accuracy Evaluation.
Hirosawa T; Kawamura R; Harada Y; Mizuta K; Tokumasu K; Kaji Y; Suzuki T; Shimizu T
JMIR Med Inform; 2023 Oct; 11():e48808. PubMed ID: 37812468
[TBL] [Abstract][Full Text] [Related]
18. Utility of ChatGPT for Automated Creation of Patient Education Handouts: An Application in Neuro-Ophthalmology.
Tao BK; Handzic A; Hua NJ; Vosoughi AR; Margolin EA; Micieli JA
J Neuroophthalmol; 2024 Mar; 44(1):119-124. PubMed ID: 38175720
[TBL] [Abstract][Full Text] [Related]
19. Uncovering Language Disparity of ChatGPT on Retinal Vascular Disease Classification: Cross-Sectional Study.
Liu X; Wu J; Shao A; Shen W; Ye P; Wang Y; Ye J; Jin K; Yang J
J Med Internet Res; 2024 Jan; 26():e51926. PubMed ID: 38252483
[TBL] [Abstract][Full Text] [Related]
20. Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study.
Rao A; Pang M; Kim J; Kamineni M; Lie W; Prasad AK; Landman A; Dreyer K; Succi MD
J Med Internet Res; 2023 Aug; 25():e48659. PubMed ID: 37606976
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]