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 *

273 related articles for article (PubMed ID: 34450134)

  • 1. Artificial intelligence applications in different imaging modalities for corneal topography.
    Shanthi S; Aruljyothi L; Balasundaram MB; Janakiraman A; Nirmaladevi K; Pyingkodi M
    Surv Ophthalmol; 2022; 67(3):801-816. PubMed ID: 34450134
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis.
    Hashemi H; Doroodgar F; Niazi S; Khabazkhoob M; Heidari Z
    Graefes Arch Clin Exp Ophthalmol; 2024 Apr; 262(4):1017-1039. PubMed ID: 37418053
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and Biomechanical Data.
    Ambrósio R; Machado AP; Leão E; Lyra JMG; Salomão MQ; Esporcatte LGP; da Fonseca Filho JBR; Ferreira-Meneses E; Sena NB; Haddad JS; Costa Neto A; de Almeida GC; Roberts CJ; Elsheikh A; Vinciguerra R; Vinciguerra P; Bühren J; Kohnen T; Kezirian GM; Hafezi F; Hafezi NL; Torres-Netto EA; Lu N; Kang DSY; Kermani O; Koh S; Padmanabhan P; Taneri S; Trattler W; Gualdi L; Salgado-Borges J; Faria-Correia F; Flockerzi E; Seitz B; Jhanji V; Chan TCY; Baptista PM; Reinstein DZ; Archer TJ; Rocha KM; Waring GO; Krueger RR; Dupps WJ; Khoramnia R; Hashemi H; Asgari S; Momeni-Moghaddam H; Zarei-Ghanavati S; Shetty R; Khamar P; Belin MW; Lopes BT
    Am J Ophthalmol; 2023 Jul; 251():126-142. PubMed ID: 36549584
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Distinguishing Highly Asymmetric Keratoconus Eyes Using Dual Scheimpflug/Placido Analysis.
    Golan O; Piccinini AL; Hwang ES; De Oca Gonzalez IM; Krauthammer M; Khandelwal SS; Smadja D; Randleman JB
    Am J Ophthalmol; 2019 May; 201():46-53. PubMed ID: 30721688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.
    Lopes BT; Ramos IC; Salomão MQ; Guerra FP; Schallhorn SC; Schallhorn JM; Vinciguerra R; Vinciguerra P; Price FW; Price MO; Reinstein DZ; Archer TJ; Belin MW; Machado AP; Ambrósio R
    Am J Ophthalmol; 2018 Nov; 195():223-232. PubMed ID: 30098348
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of Artificial Intelligence-Based Machine Learning Classifiers for Early Detection of Keratoconus.
    Mohammadpour M; Heidari Z; Hashemi H; Yaseri M; Fotouhi A
    Eur J Ophthalmol; 2022 May; 32(3):1352-1360. PubMed ID: 35060771
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Topographic, elevation, and keratoconus indices for diagnosis of keratoconus by a combined Placido and Scheimpflug topography system.
    Gharieb HM; Othman IS; Oreaba AH; Abdelatif MK
    Eur J Ophthalmol; 2021 Jul; 31(4):1553-1562. PubMed ID: 33550850
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Utility of artificial intelligence in the diagnosis and management of keratoconus: a systematic review.
    Goodman D; Zhu AY
    Front Ophthalmol (Lausanne); 2024; 4():1380701. PubMed ID: 38984114
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Universal architecture of corneal segmental tomography biomarkers for artificial intelligence-driven diagnosis of early keratoconus.
    Kundu G; Shetty R; Khamar P; Mullick R; Gupta S; Nuijts R; Sinha Roy A
    Br J Ophthalmol; 2023 May; 107(5):635-643. PubMed ID: 34916211
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography.
    Xu Z; Feng R; Jin X; Hu H; Ni S; Xu W; Zheng X; Wu J; Yao K
    Clin Exp Ophthalmol; 2022 Sep; 50(7):714-723. PubMed ID: 35704615
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Advanced Corneal Imaging in Keratoconus: A Report by the American Academy of Ophthalmology.
    Kuo AN; Cortina MS; Greiner MA; Li JY; Miller DD; Shtein RM; Veldman PB; Yin J; Kim SJ; Shen JF
    Ophthalmology; 2024 Jan; 131(1):107-121. PubMed ID: 37855776
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of machine learning to achieve keratoconus detection skills of a corneal expert.
    Cohen E; Bank D; Sorkin N; Giryes R; Varssano D
    Int Ophthalmol; 2022 Dec; 42(12):3837-3847. PubMed ID: 35953576
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integration of Scheimpflug-Based Corneal Tomography and Biomechanical Assessments for Enhancing Ectasia Detection.
    Ambrósio R; Lopes BT; Faria-Correia F; Salomão MQ; Bühren J; Roberts CJ; Elsheikh A; Vinciguerra R; Vinciguerra P
    J Refract Surg; 2017 Jul; 33(7):434-443. PubMed ID: 28681902
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Localized Corneal Biomechanical Alteration Detected In Early Keratoconus Based on Corneal Deformation Using Artificial Intelligence.
    Chen X; Tan Z; Huo Y; Song J; Xu Q; Yang C; Jhanji V; Li J; Hou J; Zou H; Ali Khan G; Alzogool M; Wang R; Wang Y
    Asia Pac J Ophthalmol (Phila); 2023 Nov-Dec 01; 12(6):574-581. PubMed ID: 37973045
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unique corneal tomography features of allergic eye disease identified by OCT imaging and artificial intelligence.
    Matalia H; Matalia J; Pisharody A; Patel Y; Chinnappaiah N; Salomao M; Ambrosio R; Sinha Roy A
    J Biophotonics; 2020 Oct; 13(10):e202000156. PubMed ID: 32649048
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining Placido and Corneal Wavefront Data for the Detection of Forme Fruste Keratoconus.
    Saad A; Gatinel D
    J Refract Surg; 2016 Aug; 32(8):510-6. PubMed ID: 27505311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Distinguishing Highly Asymmetric Keratoconus Eyes Using Combined Scheimpflug and Spectral-Domain OCT Analysis.
    Hwang ES; Perez-Straziota CE; Kim SW; Santhiago MR; Randleman JB
    Ophthalmology; 2018 Dec; 125(12):1862-1871. PubMed ID: 30055838
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.
    Xie Y; Zhao L; Yang X; Wu X; Yang Y; Huang X; Liu F; Xu J; Lin L; Lin H; Feng Q; Lin H; Liu Q
    JAMA Ophthalmol; 2020 May; 138(5):519-526. PubMed ID: 32215587
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combinations of Scheimpflug tomography, ocular coherence tomography and air-puff tonometry improve the detection of keratoconus.
    Lu NJ; Koppen C; Hafezi F; Ní Dhubhghaill S; Aslanides IM; Wang QM; Cui LL; Rozema JJ
    Cont Lens Anterior Eye; 2023 Jun; 46(3):101840. PubMed ID: 37055334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of corneal measurements in keratoconus using swept-source optical coherence tomography and combined Placido-Scheimpflug imaging.
    Chan TCY; Biswas S; Yu M; Jhanji V
    Acta Ophthalmol; 2017 Sep; 95(6):e486-e494. PubMed ID: 27805316
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.