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 *

361 related articles for article (PubMed ID: 37149834)

  • 1. Clinical validation of a smartphone-based retinal camera for diabetic retinopathy screening.
    de Oliveira JAE; Nakayama LF; Zago Ribeiro L; de Oliveira TVF; Choi SNJH; Neto EM; Cardoso VS; Dib SA; Melo GB; Regatieri CVS; Malerbi FK
    Acta Diabetol; 2023 Aug; 60(8):1075-1081. PubMed ID: 37149834
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of Handheld Retinal Imaging with ETDRS 7-Standard Field Photography for Diabetic Retinopathy and Diabetic Macular Edema.
    Salongcay RP; Aquino LAC; Salva CMG; Saunar AV; Alog GP; Sun JK; Peto T; Silva PS
    Ophthalmol Retina; 2022 Jul; 6(7):548-556. PubMed ID: 35278726
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validation of handheld fundus camera with mydriasis for retinal imaging of diabetic retinopathy screening in China: a prospective comparison study.
    Xiao B; Liao Q; Li Y; Weng F; Jin L; Wang Y; Huang W; Yi J; Burton MJ; Yip JL
    BMJ Open; 2020 Oct; 10(10):e040196. PubMed ID: 33122324
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effectiveness and safety of screening for diabetic retinopathy with two nonmydriatic digital images compared with the seven standard stereoscopic photographic fields.
    Boucher MC; Gresset JA; Angioi K; Olivier S
    Can J Ophthalmol; 2003 Dec; 38(7):557-68. PubMed ID: 14740797
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Selfie fundus imaging for diabetic retinopathy screening.
    Kumari S; Venkatesh P; Tandon N; Chawla R; Takkar B; Kumar A
    Eye (Lond); 2022 Oct; 36(10):1988-1993. PubMed ID: 34642496
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study.
    Begum T; Rahman A; Nomani D; Mamun A; Adams A; Islam S; Khair Z; Khair Z; Anwar I
    JMIR Public Health Surveill; 2021 Mar; 7(3):e23538. PubMed ID: 33411671
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Handheld fundus camera performance, image quality and outcomes of diabetic retinopathy grading in a pilot screening study.
    Kubin AM; Wirkkala J; Keskitalo A; Ohtonen P; Hautala N
    Acta Ophthalmol; 2021 Dec; 99(8):e1415-e1420. PubMed ID: 33724706
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera.
    Queiroz MS; de Carvalho JX; Bortoto SF; de Matos MR; das Graças Dias Cavalcante C; Andrade EAS; Correa-Giannella ML; Malerbi FK
    Acta Diabetol; 2020 Dec; 57(12):1493-1499. PubMed ID: 32748176
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images.
    Jacoba CMP; Doan D; Salongcay RP; Aquino LAC; Silva JPY; Salva CMG; Zhang D; Alog GP; Zhang K; Locaylocay KLRB; Saunar AV; Ashraf M; Sun JK; Peto T; Aiello LP; Silva PS
    Ophthalmol Retina; 2023 Aug; 7(8):703-712. PubMed ID: 36924893
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sensitivity and Specificity of Smartphone-Based Retinal Imaging for Diabetic Retinopathy: A Comparative Study.
    Sengupta S; Sindal MD; Baskaran P; Pan U; Venkatesh R
    Ophthalmol Retina; 2019 Feb; 3(2):146-153. PubMed ID: 31014763
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of diagnostic accuracy of retinal image grading by trained non-ophthalmologist grader for detecting diabetic retinopathy and diabetic macular edema.
    Joseph S; Rajan RP; Sundar B; Venkatachalam S; Kempen JH; Kim R
    Eye (Lond); 2023 Jun; 37(8):1577-1582. PubMed ID: 35906419
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone.
    Natarajan S; Jain A; Krishnan R; Rogye A; Sivaprasad S
    JAMA Ophthalmol; 2019 Oct; 137(10):1182-1188. PubMed ID: 31393538
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening.
    Rajalakshmi R; Arulmalar S; Usha M; Prathiba V; Kareemuddin KS; Anjana RM; Mohan V
    PLoS One; 2015; 10(9):e0138285. PubMed ID: 26401839
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Identification of Different Severity Levels of Diabetic Retinopathy Using a Handheld Fundus Camera and Single-Image Protocol.
    Malerbi FK; Nakayama LF; Melo GB; Stuchi JA; Lencione D; Prado PV; Ribeiro LZ; Dib SA; Regatieri CV
    Ophthalmol Sci; 2024; 4(4):100481. PubMed ID: 38694494
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera.
    Malerbi FK; Andrade RE; Morales PH; Stuchi JA; Lencione D; de Paulo JV; Carvalho MP; Nunes FS; Rocha RM; Ferraz DA; Belfort R
    J Diabetes Sci Technol; 2022 May; 16(3):716-723. PubMed ID: 33435711
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new handheld fundus camera combined with visual artificial intelligence facilitates diabetic retinopathy screening.
    Ruan S; Liu Y; Hu WT; Jia HX; Wang SS; Song ML; Shen MX; Luo DW; Ye T; Wang FH
    Int J Ophthalmol; 2022; 15(4):620-627. PubMed ID: 35450182
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prevalence and associated factors of diabetic retinopathy among people with diabetes screened using fundus photography at a community diabetic retinopathy screening program in Nepal.
    Thapa R; Sharma S; Pradhan E; Duwal S; Poudel M; Shrestha KG; Paudyal GP
    BMC Ophthalmol; 2023 Oct; 23(1):429. PubMed ID: 37872518
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
    Gulshan V; Peng L; Coram M; Stumpe MC; Wu D; Narayanaswamy A; Venugopalan S; Widner K; Madams T; Cuadros J; Kim R; Raman R; Nelson PC; Mega JL; Webster DR
    JAMA; 2016 Dec; 316(22):2402-2410. PubMed ID: 27898976
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.