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 *

254 related articles for article (PubMed ID: 34126549)

  • 1. ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis.
    Quellec G; Al Hajj H; Lamard M; Conze PH; Massin P; Cochener B
    Med Image Anal; 2021 Aug; 72():102118. PubMed ID: 34126549
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Validation of Artificial Intelligence Algorithm in the Detection and Staging of Diabetic Retinopathy through Fundus Photography: An Automated Tool for Detection and Grading of Diabetic Retinopathy.
    Pawar B; Lobo SN; Joseph M; Jegannathan S; Jayraj H
    Middle East Afr J Ophthalmol; 2021; 28(2):81-86. PubMed ID: 34759664
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading.
    Romero-Oraá R; Herrero-Tudela M; López MI; Hornero R; García M
    Comput Methods Programs Biomed; 2024 Jun; 249():108160. PubMed ID: 38583290
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.
    Bellemo V; Lim ZW; Lim G; Nguyen QD; Xie Y; Yip MYT; Hamzah H; Ho J; Lee XQ; Hsu W; Lee ML; Musonda L; Chandran M; Chipalo-Mutati G; Muma M; Tan GSW; Sivaprasad S; Menon G; Wong TY; Ting DSW
    Lancet Digit Health; 2019 May; 1(1):e35-e44. PubMed ID: 33323239
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Simple, Mobile-based Artificial Intelligence Algo
    Sosale B; Aravind SR; Murthy H; Narayana S; Sharma U; Gowda SGV; Naveenam M
    BMJ Open Diabetes Res Care; 2020 Jan; 8(1):. PubMed ID: 32049632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence in the assessment of diabetic retinopathy from fundus photographs.
    Gilbert MJ; Sun JK
    Semin Ophthalmol; 2020 Nov; 35(7-8):325-332. PubMed ID: 33539253
    [No Abstract]   [Full Text] [Related]  

  • 7. Deep image mining for diabetic retinopathy screening.
    Quellec G; Charrière K; Boudi Y; Cochener B; Lamard M
    Med Image Anal; 2017 Jul; 39():178-193. PubMed ID: 28511066
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An overview of artificial intelligence in diabetic retinopathy and other ocular diseases.
    Sheng B; Chen X; Li T; Ma T; Yang Y; Bi L; Zhang X
    Front Public Health; 2022; 10():971943. PubMed ID: 36388304
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Medios- An offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy.
    Sosale B; Sosale AR; Murthy H; Sengupta S; Naveenam M
    Indian J Ophthalmol; 2020 Feb; 68(2):391-395. PubMed ID: 31957735
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Artificial Intelligence Algorithms in Diabetic Retinopathy Screening.
    Zafar S; Mahjoub H; Mehta N; Domalpally A; Channa R
    Curr Diab Rep; 2022 Jun; 22(6):267-274. PubMed ID: 35438458
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of offline artificial intelligence in a smartphone-based fundus camera for community screening of diabetic retinopathy.
    Jain A; Krishnan R; Rogye A; Natarajan S
    Indian J Ophthalmol; 2021 Nov; 69(11):3150-3154. PubMed ID: 34708760
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence and Diabetic Retinopathy: AI Framework, Prospective Studies, Head-to-head Validation, and Cost-effectiveness.
    Rajesh AE; Davidson OQ; Lee CS; Lee AY
    Diabetes Care; 2023 Oct; 46(10):1728-1739. PubMed ID: 37729502
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Using artificial intelligence as an initial triage strategy in diabetic retinopathy screening program in China].
    Li ZX; Zhang J; Fong N; He MG
    Zhonghua Yi Xue Za Zhi; 2020 Dec; 100(48):3835-3840. PubMed ID: 33371627
    [No Abstract]   [Full Text] [Related]  

  • 14. Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study.
    Sarao V; Veritti D; Lanzetta P
    Graefes Arch Clin Exp Ophthalmol; 2020 Dec; 258(12):2647-2654. PubMed ID: 32936359
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use.
    Chun JW; Kim HS
    J Korean Med Sci; 2023 Aug; 38(31):e253. PubMed ID: 37550811
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ARTEFICIAL INTELLIGENCE IN DIABETIC RETINOPATHY SCREENING. A REVIEW.
    Straňák Z; Penčák M; Veith M
    Cesk Slov Oftalmol; 2021; 77(5):224-231. PubMed ID: 34666491
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated detection of severe diabetic retinopathy using deep learning method.
    Zhang X; Li F; Li D; Wei Q; Han X; Zhang B; Chen H; Zhang Y; Mo B; Hu B; Ding D; Li X; Yu W; Chen Y
    Graefes Arch Clin Exp Ophthalmol; 2022 Mar; 260(3):849-856. PubMed ID: 34591173
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence for diabetic retinopathy screening: a review.
    Grzybowski A; Brona P; Lim G; Ruamviboonsuk P; Tan GSW; Abramoff M; Ting DSW
    Eye (Lond); 2020 Mar; 34(3):451-460. PubMed ID: 31488886
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Using artificial intelligence for diabetic retinopathy screening: Policy implications.
    Raman R; Dasgupta D; Ramasamy K; George R; Mohan V; Ting D
    Indian J Ophthalmol; 2021 Nov; 69(11):2993-2998. PubMed ID: 34708734
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.