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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

227 related articles for article (PubMed ID: 37724285)

  • 1. Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023).
    Yang WH; Shao Y; Xu YW;
    Int J Ophthalmol; 2023; 16(9):1361-1372. PubMed ID: 37724285
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey.
    Zheng B; Wu MN; Zhu SJ; Zhou HX; Hao XL; Fei FQ; Jia Y; Wu J; Yang WH; Pan XP
    BMC Health Serv Res; 2021 Oct; 21(1):1067. PubMed ID: 34627239
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions.
    Anton N; Doroftei B; Curteanu S; Catãlin L; Ilie OD; Târcoveanu F; Bogdănici CM
    Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611392
    [TBL] [Abstract][Full Text] [Related]  

  • 4. From Data to Deployment: The Collaborative Community on Ophthalmic Imaging Roadmap for Artificial Intelligence in Age-Related Macular Degeneration.
    Dow ER; Keenan TDL; Lad EM; Lee AY; Lee CS; Loewenstein A; Eydelman MB; Chew EY; Keane PA; Lim JI;
    Ophthalmology; 2022 May; 129(5):e43-e59. PubMed ID: 35016892
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Challenges and countermeasures in the development of artificial intelligence research in ophthalmology].
    Yuan J; Xiao P
    Zhonghua Yan Ke Za Zhi; 2023 Apr; 59(4):245-249. PubMed ID: 37012586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization.
    Wu X; Liu L; Zhao L; Guo C; Li R; Wang T; Yang X; Xie P; Liu Y; Lin H
    Ann Transl Med; 2020 Jun; 8(11):714. PubMed ID: 32617334
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023).
    Shao Y; Jie Y; Liu ZG;
    Int J Ophthalmol; 2023; 16(9):1373-1385. PubMed ID: 37724278
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Artificial intelligence based on images in ophthalmology].
    Xu LL; Yang Z; Tian B
    Zhonghua Yan Ke Za Zhi; 2021 Jun; 57(6):465-469. PubMed ID: 34098697
    [TBL] [Abstract][Full Text] [Related]  

  • 9. International publication trends in the application of artificial intelligence in ophthalmology research: an updated bibliometric analysis.
    Jiang X; Xie M; Ma L; Dong L; Li D
    Ann Transl Med; 2023 Mar; 11(5):219. PubMed ID: 37007552
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model.
    Zhou H
    Contrast Media Mol Imaging; 2022; 2022():4934190. PubMed ID: 35854765
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice.
    González-Gonzalo C; Thee EF; Klaver CCW; Lee AY; Schlingemann RO; Tufail A; Verbraak F; Sánchez CI
    Prog Retin Eye Res; 2022 Sep; 90():101034. PubMed ID: 34902546
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends.
    Madadi Y; Delsoz M; Khouri AS; Boland M; Grzybowski A; Yousefi S
    Curr Opin Ophthalmol; 2024 May; 35(3):238-243. PubMed ID: 38277274
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Research progress in artificial intelligence assisted diabetic retinopathy diagnosis.
    Liu YF; Ji YK; Fei FQ; Chen NM; Zhu ZT; Fei XZ
    Int J Ophthalmol; 2023; 16(9):1395-1405. PubMed ID: 37724288
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence in Ophthalmology - Status Quo and Future Perspectives.
    Wawer Matos PA; Reimer RP; Rokohl AC; Caldeira L; Heindl LM; Große Hokamp N
    Semin Ophthalmol; 2023 Apr; 38(3):226-237. PubMed ID: 36356300
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal.
    Pattathil N; Zhao JZL; Sam-Oyerinde O; Felfeli T
    BMJ Health Care Inform; 2023 Jul; 30(1):. PubMed ID: 37463773
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of machine learning in ophthalmic imaging modalities.
    Tong Y; Lu W; Yu Y; Shen Y
    Eye Vis (Lond); 2020; 7():22. PubMed ID: 32322599
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Economic Evaluations of Artificial Intelligence in Ophthalmology.
    Ruamviboonsuk P; Chantra S; Seresirikachorn K; Ruamviboonsuk V; Sangroongruangsri S
    Asia Pac J Ophthalmol (Phila); 2021 Jul; 10(3):307-316. PubMed ID: 34261102
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Challenges and prospects in the application of artificial intelligence for ocular disease screening and diagnosis].
    Liu LQ; Wu DW
    Zhonghua Yan Ke Za Zhi; 2024 Jun; 60(6):484-489. PubMed ID: 38825947
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives.
    Jin K; Ye J
    Adv Ophthalmol Pract Res; 2022; 2(3):100078. PubMed ID: 37846285
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.