BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 34954220)

  • 1. A Case for the Use of Artificial Intelligence in Glaucoma Assessment.
    Schuman JS; De Los Angeles Ramos Cadena M; McGee R; Al-Aswad LA; Medeiros FA;
    Ophthalmol Glaucoma; 2022; 5(3):e3-e13. PubMed ID: 34954220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression.
    Al-Aswad LA; Ramachandran R; Schuman JS; Medeiros F; Eydelman MB;
    Ophthalmol Glaucoma; 2022; 5(5):e16-e25. PubMed ID: 35218987
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
    Mursch-Edlmayr AS; Ng WS; Diniz-Filho A; Sousa DC; Arnold L; Schlenker MB; Duenas-Angeles K; Keane PA; Crowston JG; Jayaram H
    Transl Vis Sci Technol; 2020 Oct; 9(2):55. PubMed ID: 33117612
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.
    Abràmoff MD; Cunningham B; Patel B; Eydelman MB; Leng T; Sakamoto T; Blodi B; Grenon SM; Wolf RM; Manrai AK; Ko JM; Chiang MF; Char D;
    Ophthalmology; 2022 Feb; 129(2):e14-e32. PubMed ID: 34478784
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence and complex statistical modeling in glaucoma diagnosis and management.
    Salazar H; Misra V; Swaminathan SS
    Curr Opin Ophthalmol; 2021 Mar; 32(2):105-117. PubMed ID: 33395111
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence in glaucoma.
    Nair M; Tagare S; Venkatesh R; Odayappan A
    Indian J Ophthalmol; 2022 May; 70(5):1868-1869. PubMed ID: 35502116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device.
    Prabhakar B; Singh RK; Yadav KS
    Comput Med Imaging Graph; 2021 Jan; 87():101818. PubMed ID: 33307283
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Artificial intelligence and glaucoma: A literature review].
    Bunod R; Augstburger E; Brasnu E; Labbe A; Baudouin C
    J Fr Ophtalmol; 2022 Feb; 45(2):216-232. PubMed ID: 34991909
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review.
    Coan LJ; Williams BM; Krishna Adithya V; Upadhyaya S; Alkafri A; Czanner S; Venkatesh R; Willoughby CE; Kavitha S; Czanner G
    Surv Ophthalmol; 2023; 68(1):17-41. PubMed ID: 35985360
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Applications of deep learning in detection of glaucoma: A systematic review.
    Mirzania D; Thompson AC; Muir KW
    Eur J Ophthalmol; 2021 Jul; 31(4):1618-1642. PubMed ID: 33274641
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Health care cost and benefits of artificial intelligence-assisted population-based glaucoma screening for the elderly in remote areas of China: a cost-offset analysis.
    Xiao X; Xue L; Ye L; Li H; He Y
    BMC Public Health; 2021 Jun; 21(1):1065. PubMed ID: 34088286
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Artificial intelligence for eye care].
    Thee EF; Luttikhuizen DT; Lemij HG; Verbraak FD; Sánchez CI; Klaver CCW
    Ned Tijdschr Geneeskd; 2020 Sep; 164():. PubMed ID: 33331711
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases.
    Hasan MM; Phu J; Sowmya A; Meijering E; Kalloniatis M
    Clin Exp Optom; 2024 Mar; 107(2):130-146. PubMed ID: 37674264
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases.
    Ferro Desideri L; Rutigliani C; Corazza P; Nastasi A; Roda M; Nicolo M; Traverso CE; Vagge A
    J Optom; 2022; 15 Suppl 1(Suppl 1):S50-S57. PubMed ID: 36216736
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence and deep learning in glaucoma: Current state and future prospects.
    Girard MJA; Schmetterer L
    Prog Brain Res; 2020; 257():37-64. PubMed ID: 32988472
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A Review on an Artificial Intelligence Based Ophthalmic Application.
    Kothandan S; Radhakrishnan A; Kuppusamy G
    Curr Pharm Des; 2022; 28(26):2150-2160. PubMed ID: 35619317
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence in glaucoma.
    Zheng C; Johnson TV; Garg A; Boland MV
    Curr Opin Ophthalmol; 2019 Mar; 30(2):97-103. PubMed ID: 30562242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.