BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 37203074)

  • 21. 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]  

  • 22. Smartphone fundus photography: a narrative review.
    Iqbal U
    Int J Retina Vitreous; 2021 Jun; 7(1):44. PubMed ID: 34103075
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Investigating the light emitting diode (LED) flashlight characteristics of a sample of smartphones for its safety in indirect retinal photography.
    Solyman OM; Hamdy O; Abdelkawi SA; Hassan AA
    Pan Afr Med J; 2022; 43():15. PubMed ID: 36451727
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Current status and future possibilities of retinal imaging in diabetic retinopathy care applicable to low- and medium-income countries.
    Attiku Y; He Y; Nittala MG; Sadda SR
    Indian J Ophthalmol; 2021 Nov; 69(11):2968-2976. PubMed ID: 34708731
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Review of retinal cameras for global coverage of diabetic retinopathy screening.
    Rajalakshmi R; Prathiba V; Arulmalar S; Usha M
    Eye (Lond); 2021 Jan; 35(1):162-172. PubMed ID: 33168977
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Evaluation of modified portable digital camera for screening of diabetic retinopathy.
    Chalam KV; Brar VS; Keshavamurthy R
    Ophthalmic Res; 2009; 42(1):60-2. PubMed ID: 19478543
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Safety of iPhone retinal photography.
    Hong SC; Wynn-Williams G; Wilson G
    J Med Eng Technol; 2017 Apr; 41(3):165-169. PubMed ID: 27924670
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A pilot study for smartphone photography to assess bleb morphology and vasculature post-trabeculectomy.
    Kalra G; Ichhpujani P; Thakur S; Singh RB; Sharma U; Kumar S
    Int Ophthalmol; 2021 Feb; 41(2):483-490. PubMed ID: 33051769
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Smartphone-based fundus imaging: applications and adapters].
    Jansen LG; Schultz T; Holz FG; Finger RP; Wintergerst MWM
    Ophthalmologe; 2022 Feb; 119(2):112-126. PubMed ID: 34913992
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Various models for diabetic retinopathy screening that can be applied to India.
    Rajalakshmi R; Prathiba V; Rani PK; Mohan V
    Indian J Ophthalmol; 2021 Nov; 69(11):2951-2958. PubMed ID: 34708729
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.
    Rajalakshmi R; Subashini R; Anjana RM; Mohan V
    Eye (Lond); 2018 Jun; 32(6):1138-1144. PubMed ID: 29520050
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Color fundus imaging in retinopathy of prematurity screening: Present and future.
    Jayanna S; Padhi TR; Nedhina EK; Agarwal K; Jalali S
    Indian J Ophthalmol; 2023 May; 71(5):1777-1782. PubMed ID: 37203030
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Clinically useful smartphone ophthalmic imaging techniques.
    Pujari A; Saluja G; Agarwal D; Selvan H; Sharma N
    Graefes Arch Clin Exp Ophthalmol; 2021 Feb; 259(2):279-287. PubMed ID: 32915278
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Nonmydriatic ultrawide field retinal imaging compared with dilated standard 7-field 35-mm photography and retinal specialist examination for evaluation of diabetic retinopathy.
    Silva PS; Cavallerano JD; Sun JK; Noble J; Aiello LM; Aiello LP
    Am J Ophthalmol; 2012 Sep; 154(3):549-559.e2. PubMed ID: 22626617
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography.
    Kim TN; Aaberg MT; Li P; Davila JR; Bhaskaranand M; Bhat S; Ramachandra C; Solanki K; Myers F; Reber C; Jalalizadeh R; Margolis TP; Fletcher D; Paulus YM
    Eye (Lond); 2021 Jan; 35(1):334-342. PubMed ID: 32341536
    [TBL] [Abstract][Full Text] [Related]  

  • 37. iPhone 4s and iPhone 5s Imaging of the Eye.
    Jalil M; Ferenczy SR; Shields CL
    Ocul Oncol Pathol; 2017 Jan; 3(1):49-55. PubMed ID: 28275604
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy.
    Li Z; Wu C; Olayiwola JN; Hilaire DS; Huang JJ
    Conn Med; 2012 Feb; 76(2):85-90. PubMed ID: 22670358
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. A smartphone-based portable fundus camera for retinal photography in infants with suspected nonaccidental trauma.
    Solyman O; Eldib AA; Elborgy ES; Abushanab MM
    J AAPOS; 2022 Aug; 26(4):214-216. PubMed ID: 35872164
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.