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 *

193 related articles for article (PubMed ID: 32518707)

  • 1. Will AI Replace Ophthalmologists?
    Korot E; Wagner SK; Faes L; Liu X; Huemer J; Ferraz D; Keane PA; Balaskas K
    Transl Vis Sci Technol; 2020 Jan; 9(2):2. PubMed ID: 32518707
    [No Abstract]   [Full Text] [Related]  

  • 2. Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.
    Valikodath NG; Al-Khaled T; Cole E; Ting DSW; Tu EY; Campbell JP; Chiang MF; Hallak JA; Chan RVP
    J AAPOS; 2021 Jun; 25(3):164.e1-164.e5. PubMed ID: 34087473
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy.
    Yoon J; Han J; Ko J; Choi S; Park JI; Hwang JS; Han JM; Hwang DD
    J Med Internet Res; 2023 Nov; 25():e48142. PubMed ID: 38019564
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of Artificial Intelligence Algorithms for Diabetic Retinopathy Detection: Protocol for a Systematic Review and Meta-Analysis.
    Sesgundo Iii JA; Maeng DC; Tukay JA; Ascano MP; Suba-Cohen J; Sampang V
    JMIR Res Protoc; 2024 May; 13():e57292. PubMed ID: 38801771
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [The application potential and direction of artificial intelligence in the prevention and treatment of glaucoma].
    Zhuo YH; Wu J
    Zhonghua Yan Ke Za Zhi; 2023 Sep; 59(9):691-695. PubMed ID: 37670651
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpretation of artificial intelligence studies for the ophthalmologist.
    Tan TE; Xu X; Wang Z; Liu Y; Ting DSW
    Curr Opin Ophthalmol; 2020 Sep; 31(5):351-356. PubMed ID: 32740068
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera.
    Kubin AM; Huhtinen P; Ohtonen P; Keskitalo A; Wirkkala J; Hautala N
    Ann Med; 2024 Dec; 56(1):2352018. PubMed ID: 38738798
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital.
    Liu R; Li Q; Xu F; Wang S; He J; Cao Y; Shi F; Chen X; Chen J
    Biomed Eng Online; 2022 Jul; 21(1):47. PubMed ID: 35859144
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine.
    Dzobo K; Adotey S; Thomford NE; Dzobo W
    OMICS; 2020 May; 24(5):247-263. PubMed ID: 31313972
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective.
    Gunasekeran DV; Zheng F; Lim GYS; Chong CCY; Zhang S; Ng WY; Keel S; Xiang Y; Park KH; Park SJ; Chandra A; Wu L; Campbel JP; Lee AY; Keane PA; Denniston A; Lam DSC; Fung AT; Chan PRV; Sadda SR; Loewenstein A; Grzybowski A; Fong KCS; Wu WC; Bachmann LM; Zhang X; Yam JC; Cheung CY; Pongsachareonnont P; Ruamviboonsuk P; Raman R; Sakamoto T; Habash R; Girard M; Milea D; Ang M; Tan GSW; Schmetterer L; Cheng CY; Lamoureux E; Lin H; van Wijngaarden P; Wong TY; Ting DSW
    Front Med (Lausanne); 2022; 9():875242. PubMed ID: 36314006
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Insights into the growing popularity of artificial intelligence in ophthalmology.
    Dutt S; Sivaraman A; Savoy F; Rajalakshmi R
    Indian J Ophthalmol; 2020 Jul; 68(7):1339-1346. PubMed ID: 32587159
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.
    Rogers TW; Jaccard N; Carbonaro F; Lemij HG; Vermeer KA; Reus NJ; Trikha S
    Eye (Lond); 2019 Nov; 33(11):1791-1797. PubMed ID: 31267086
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence-based screening for diabetic retinopathy at community hospital.
    He J; Cao T; Xu F; Wang S; Tao H; Wu T; Sun L; Chen J
    Eye (Lond); 2020 Mar; 34(3):572-576. PubMed ID: 31455902
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The role of saliency maps in enhancing ophthalmologists' trust in artificial intelligence models.
    Wong CYT; Antaki F; Woodward-Court P; Ong AY; Keane PA
    Asia Pac J Ophthalmol (Phila); 2024; 13(4):100087. PubMed ID: 39069106
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Artificial intelligence : A helpful tool for radiologists?].
    Schütze B; Schlieter H
    Radiologe; 2019 Dec; 59(12):1091-1096. PubMed ID: 31578624
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists.
    Yan Y; Huang X; Jiang X; Gao Z; Liu X; Jin K; Ye J
    Eye (Lond); 2024 Mar; 38(4):730-736. PubMed ID: 37848677
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.
    Pucchio A; Krance SH; Pur DR; Bhatti J; Bassi A; Manichavagan K; Brahmbhatt S; Aggarwal I; Singh P; Virani A; Stanley M; Miranda RN; Felfeli T
    Graefes Arch Clin Exp Ophthalmol; 2024 Apr; 262(4):1041-1091. PubMed ID: 37421481
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.
    Balyen L; Peto T
    Asia Pac J Ophthalmol (Phila); 2019; 8(3):264-272. PubMed ID: 31149787
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data.
    Fernandez EI; Ferreira AS; Cecílio MHM; Chéles DS; de Souza RCM; Nogueira MFG; Rocha JC
    J Assist Reprod Genet; 2020 Oct; 37(10):2359-2376. PubMed ID: 32654105
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.