These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
317 related articles for article (PubMed ID: 37334036)
1. 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]
2. Comparison of Gemini Advanced and ChatGPT 4.0's Performances on the Ophthalmology Resident Ophthalmic Knowledge Assessment Program (OKAP) Examination Review Question Banks. Gill GS; Tsai J; Moxam J; Sanghvi HA; Gupta S Cureus; 2024 Sep; 16(9):e69612. PubMed ID: 39421095 [TBL] [Abstract][Full Text] [Related]
3. Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment. Mihalache A; Popovic MM; Muni RH JAMA Ophthalmol; 2023 Jun; 141(6):589-597. PubMed ID: 37103928 [TBL] [Abstract][Full Text] [Related]
4. How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. Gilson A; Safranek CW; Huang T; Socrates V; Chi L; Taylor RA; Chartash D JMIR Med Educ; 2023 Feb; 9():e45312. PubMed ID: 36753318 [TBL] [Abstract][Full Text] [Related]
5. Assessing question characteristic influences on ChatGPT's performance and response-explanation consistency: Insights from Taiwan's Nursing Licensing Exam. Su MC; Lin LE; Lin LH; Chen YC Int J Nurs Stud; 2024 May; 153():104717. PubMed ID: 38401366 [TBL] [Abstract][Full Text] [Related]
6. Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering. Antaki F; Milad D; Chia MA; Giguère CÉ; Touma S; El-Khoury J; Keane PA; Duval R Br J Ophthalmol; 2024 Sep; 108(10):1371-1378. PubMed ID: 37923374 [TBL] [Abstract][Full Text] [Related]
7. Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study. Yu P; Fang C; Liu X; Fu W; Ling J; Yan Z; Jiang Y; Cao Z; Wu M; Chen Z; Zhu W; Zhang Y; Abudukeremu A; Wang Y; Liu X; Wang J JMIR Med Educ; 2024 Feb; 10():e48514. PubMed ID: 38335017 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. ChatGPT's performance in German OB/GYN exams - paving the way for AI-enhanced medical education and clinical practice. Riedel M; Kaefinger K; Stuehrenberg A; Ritter V; Amann N; Graf A; Recker F; Klein E; Kiechle M; Riedel F; Meyer B Front Med (Lausanne); 2023; 10():1296615. PubMed ID: 38155661 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Success of ChatGPT, an AI language model, in taking the French language version of the European Board of Ophthalmology examination: A novel approach to medical knowledge assessment. Panthier C; Gatinel D J Fr Ophtalmol; 2023 Sep; 46(7):706-711. PubMed ID: 37537126 [TBL] [Abstract][Full Text] [Related]
12. Can Artificial Intelligence Pass the American Board of Orthopaedic Surgery Examination? Orthopaedic Residents Versus ChatGPT. Lum ZC Clin Orthop Relat Res; 2023 Aug; 481(8):1623-1630. PubMed ID: 37220190 [TBL] [Abstract][Full Text] [Related]
13. Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis. Wu JH; Nishida T; Liu TYA Asia Pac J Ophthalmol (Phila); 2024; 13(5):100106. PubMed ID: 39374807 [TBL] [Abstract][Full Text] [Related]
14. Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care. Thirunavukarasu AJ; Hassan R; Mahmood S; Sanghera R; Barzangi K; El Mukashfi M; Shah S JMIR Med Educ; 2023 Apr; 9():e46599. PubMed ID: 37083633 [TBL] [Abstract][Full Text] [Related]
15. The Accuracy of Artificial Intelligence ChatGPT in Oncology Examination Questions. Chow R; Hasan S; Zheng A; Gao C; Valdes G; Yu F; Chhabra A; Raman S; Choi JI; Lin H; Simone CB J Am Coll Radiol; 2024 Nov; 21(11):1800-1804. PubMed ID: 39098369 [TBL] [Abstract][Full Text] [Related]
16. Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis. Liu M; Okuhara T; Chang X; Shirabe R; Nishiie Y; Okada H; Kiuchi T J Med Internet Res; 2024 Jul; 26():e60807. PubMed ID: 39052324 [TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence in Ophthalmology: A Comparative Analysis of GPT-3.5, GPT-4, and Human Expertise in Answering StatPearls Questions. Moshirfar M; Altaf AW; Stoakes IM; Tuttle JJ; Hoopes PC Cureus; 2023 Jun; 15(6):e40822. PubMed ID: 37485215 [TBL] [Abstract][Full Text] [Related]
18. Unveiling the ChatGPT phenomenon: Evaluating the consistency and accuracy of endodontic question answers. Suárez A; Díaz-Flores García V; Algar J; Gómez Sánchez M; Llorente de Pedro M; Freire Y Int Endod J; 2024 Jan; 57(1):108-113. PubMed ID: 37814369 [TBL] [Abstract][Full Text] [Related]
19. Appraisal of ChatGPT's Aptitude for Medical Education: Comparative Analysis With Third-Year Medical Students in a Pulmonology Examination. Cherif H; Moussa C; Missaoui AM; Salouage I; Mokaddem S; Dhahri B JMIR Med Educ; 2024 Jul; 10():e52818. PubMed ID: 39042876 [TBL] [Abstract][Full Text] [Related]
20. Can ChatGPT pass the MRCP (UK) written examinations? Analysis of performance and errors using a clinical decision-reasoning framework. Maitland A; Fowkes R; Maitland S BMJ Open; 2024 Mar; 14(3):e080558. PubMed ID: 38490655 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]