170 related articles for article (PubMed ID: 36451727)
21. Use of smartphones for detecting diabetic retinopathy: a protocol for a scoping review of diagnostic test accuracy studies.
Tan CH; Quah WH; Tan CSH; Smith H; Tudor Car L
BMJ Open; 2019 Dec; 9(12):e028811. PubMed ID: 31818832
[TBL] [Abstract][Full Text] [Related]
22. Smartphone guided wide-field imaging for retinopathy of prematurity in neonatal intensive care unit - a Smart ROP (SROP) initiative.
Goyal A; Gopalakrishnan M; Anantharaman G; Chandrashekharan DP; Thachil T; Sharma A
Indian J Ophthalmol; 2019 Jun; 67(6):840-845. PubMed ID: 31124499
[TBL] [Abstract][Full Text] [Related]
23. The influence of luminous intensity on the eyelid aperture and measurement of the margin reflex distance.
Lima Lang MP; Marinho DR; Procianoy F
Orbit; 2022 Jun; 41(3):311-314. PubMed ID: 33663331
[TBL] [Abstract][Full Text] [Related]
24. Smartphone-based intraocular lens microscope.
Chandrakanth P; Chandrakanth KS
Indian J Ophthalmol; 2020 Oct; 68(10):2213-2215. PubMed ID: 32971646
[TBL] [Abstract][Full Text] [Related]
25. Cobalt blue light unit filter - A smartphone attachment for blue light photography.
Puthalath AS; Gupta N; Samanta R; Singh A; Kumawat D; Mittal SK
Indian J Ophthalmol; 2021 Oct; 69(10):2841-2843. PubMed ID: 34571645
[TBL] [Abstract][Full Text] [Related]
26. Validity of smartphone-based retinal photography (PEEK-retina) compared to the standard ophthalmic fundus camera in diagnosing diabetic retinopathy in Uganda: A cross-sectional study.
Yusuf AM; Lusobya RC; Mukisa J; Batte C; Nakanjako D; Juliet-Sengeri O
PLoS One; 2022; 17(9):e0273633. PubMed ID: 36067194
[TBL] [Abstract][Full Text] [Related]
27. Ocular fundus photography with a smartphone device in acute hypertension.
Muiesan ML; Salvetti M; Paini A; Riviera M; Pintossi C; Bertacchini F; Colonetti E; Agabiti-Rosei C; Poli M; Semeraro F; Agabiti-Rosei E; Russo A
J Hypertens; 2017 Aug; 35(8):1660-1665. PubMed ID: 28306635
[TBL] [Abstract][Full Text] [Related]
28. Smartphone imaging for the ophthalmic examination in primary care.
Bifolck E; Fink A; Pedersen D; Gregory T
JAAPA; 2018 Aug; 31(8):34-38. PubMed ID: 30048353
[TBL] [Abstract][Full Text] [Related]
29. Quality and Diagnostic Utility of Mydriatic Smartphone Photography: The Smartphone Ophthalmoscopy Reliability Trial.
Adam MK; Brady CJ; Flowers AM; Juhn AT; Hsu J; Garg SJ; Murchison AP; Spirn MJ
Ophthalmic Surg Lasers Imaging Retina; 2015 Jun; 46(6):631-7. PubMed ID: 26114843
[TBL] [Abstract][Full Text] [Related]
30. Comparison of Digital Widefield Retinal Imaging With Indirect Ophthalmoscopy in Pediatric Patients.
Ramkumar HL; Koduri M; Conger J; Robbins SL; Granet D; Freeman WR; Saunders L; Ferreyra H; Weinreb RN; Nudleman E
Ophthalmic Surg Lasers Imaging Retina; 2019 Sep; 50(9):580-585. PubMed ID: 31589756
[TBL] [Abstract][Full Text] [Related]
31. Fundus Photography in the 21st Century--A Review of Recent Technological Advances and Their Implications for Worldwide Healthcare.
Panwar N; Huang P; Lee J; Keane PA; Chuan TS; Richhariya A; Teoh S; Lim TH; Agrawal R
Telemed J E Health; 2016 Mar; 22(3):198-208. PubMed ID: 26308281
[TBL] [Abstract][Full Text] [Related]
32. Remote ophthalmology with a smartphone adapter handled by nurses for the diagnosis of eye posterior pole pathologies during the COVID-19 pandemic.
González-Márquez F; Luque-Romero L; Ruiz-Romero MV; Castillón-Torre L; Hernández-Martínez FJ; Olea-Pabón L; Moro-Muñoz S; García-Díaz RDM; García-Garmendia JL
J Telemed Telecare; 2023 Jul; 29(6):474-483. PubMed ID: 33599527
[TBL] [Abstract][Full Text] [Related]
33. Smartphone use in ophthalmology: What is their place in clinical practice?
Hogarty DT; Hogarty JP; Hewitt AW
Surv Ophthalmol; 2020; 65(2):250-262. PubMed ID: 31541618
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. A Preliminary Evaluation of the Diagnostic Performance of a Smartphone-Based Machine Learning-Assisted System for Evaluation of Clinical Activity Score in Digital Images of Thyroid-Associated Orbitopathy.
Shin K; Choung H; Lee MJ; Kim J; Lee GM; Kim S; Kim JH; Oh R; Park J; Lee SM; Park J; Kim N; Moon JH
Thyroid; 2024 Jun; 34(6):744-752. PubMed ID: 38623815
[No Abstract] [Full Text] [Related]
36. Accuracy of the smartphone-based nonmydriatic retinal camera in the detection of sight-threatening diabetic retinopathy.
Prathiba V; Rajalakshmi R; Arulmalar S; Usha M; Subhashini R; Gilbert CE; Anjana RM; Mohan V
Indian J Ophthalmol; 2020 Feb; 68(Suppl 1):S42-S46. PubMed ID: 31937728
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Optics and Utility of Low-Cost Smartphone-Based Portable Digital Fundus Camera System for Screening of Retinal Diseases.
Chalam KV; Chamchikh J; Gasparian S
Diagnostics (Basel); 2022 Jun; 12(6):. PubMed ID: 35741312
[TBL] [Abstract][Full Text] [Related]
39. Retinal pigment epithelial dysfunction in human immunodeficiency virus-infected patients with cytomegalovirus retinitis.
Harrison JM; van Heuven WA
Ophthalmology; 1999 Apr; 106(4):790-7. PubMed ID: 10201604
[TBL] [Abstract][Full Text] [Related]
40. Rabbit model of ocular indirect photodynamic therapy using a retinoblastoma xenograft.
Kim JW; Jacobsen B; Zolfaghari E; Ferrario A; Chevez-Barrios P; Berry JL; Lee DK; Rico G; Madi I; Rao N; Stachelek K; Wang LC; Gomer C
Graefes Arch Clin Exp Ophthalmol; 2017 Dec; 255(12):2363-2373. PubMed ID: 28971251
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
