151 related articles for article (PubMed ID: 38183467)
1. Diagnostic capabilities of ChatGPT in ophthalmology.
Shemer A; Cohen M; Altarescu A; Atar-Vardi M; Hecht I; Dubinsky-Pertzov B; Shoshany N; Zmujack S; Or L; Einan-Lifshitz A; Pras E
Graefes Arch Clin Exp Ophthalmol; 2024 Jul; 262(7):2345-2352. PubMed ID: 38183467
[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. AI Versus MD: Evaluating the surgical decision-making accuracy of ChatGPT-4.
Palenzuela DL; Mullen JT; Phitayakorn R
Surgery; 2024 May; ():. PubMed ID: 38769038
[TBL] [Abstract][Full Text] [Related]
4. Reliability and accuracy of artificial intelligence ChatGPT in providing information on ophthalmic diseases and management to patients.
Cappellani F; Card KR; Shields CL; Pulido JS; Haller JA
Eye (Lond); 2024 May; 38(7):1368-1373. PubMed ID: 38245622
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.
Fukuzawa F; Yanagita Y; Yokokawa D; Uchida S; Yamashita S; Li Y; Shikino K; Tsukamoto T; Noda K; Uehara T; Ikusaka M
JMIR Med Educ; 2024 Apr; 10():e52674. PubMed ID: 38602313
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Does experience matter? A comparison of the practice of attendings and residents.
Charlson ME; Karnik J; Wong M; McCulloch CE; Hollenberg JP
J Gen Intern Med; 2005 Jun; 20(6):497-503. PubMed ID: 15987323
[TBL] [Abstract][Full Text] [Related]
9. Surgeons vs ChatGPT: Assessment and Feedback Performance Based on Real Surgical Scenarios.
Jarry Trujillo C; Vela Ulloa J; Escalona Vivas G; Grasset Escobar E; Villagrán Gutiérrez I; Achurra Tirado P; Varas Cohen J
J Surg Educ; 2024 Jul; 81(7):960-966. PubMed ID: 38749814
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Assessing ChatGPT 4.0's test performance and clinical diagnostic accuracy on USMLE STEP 2 CK and clinical case reports.
Shieh A; Tran B; He G; Kumar M; Freed JA; Majety P
Sci Rep; 2024 Apr; 14(1):9330. PubMed ID: 38654011
[TBL] [Abstract][Full Text] [Related]
12. Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study.
Haddad F; Saade JS
JMIR Med Educ; 2024 Jan; 10():e50842. PubMed ID: 38236632
[TBL] [Abstract][Full Text] [Related]
13. Performance of ChatGPT in Board Examinations for Specialists in the Japanese Ophthalmology Society.
Sakai D; Maeda T; Ozaki A; Kanda GN; Kurimoto Y; Takahashi M
Cureus; 2023 Dec; 15(12):e49903. PubMed ID: 38174202
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases.
Horiuchi D; Tatekawa H; Oura T; Oue S; Walston SL; Takita H; Matsushita S; Mitsuyama Y; Shimono T; Miki Y; Ueda D
Clin Neuroradiol; 2024 May; ():. PubMed ID: 38806794
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Flashes and floaters: a survey of Canadian ophthalmology residents' practice patterns.
Arjmand P; Hurley B
Can J Ophthalmol; 2017 Oct; 52(5):453-457. PubMed ID: 28985803
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Effect of full-time vs volunteer faculty supervision on resident cataract surgery complications.
Saifee M; Zhu I; Lin Y; Oldenburg CE; Ramanathan S
J Cataract Refract Surg; 2020 May; 46(5):700-704. PubMed ID: 32358263
[TBL] [Abstract][Full Text] [Related]
20. A cross-sectional comparative study: ChatGPT 3.5 versus diverse levels of medical experts in the diagnosis of ENT diseases.
Makhoul M; Melkane AE; Khoury PE; Hadi CE; Matar N
Eur Arch Otorhinolaryngol; 2024 May; 281(5):2717-2721. PubMed ID: 38365990
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
