119 related articles for article (PubMed ID: 38316534)
1. Prediction of retinopathy progression using deep learning on retinal images within the Scottish screening programme.
Mellor J; Jiang W; Fleming A; McGurnaghan SJ; Blackbourn LAK; Styles C; Storkey A; McKeigue PM; Colhoun HM
Br J Ophthalmol; 2024 May; 108(6):833-839. PubMed ID: 38316534
[TBL] [Abstract][Full Text] [Related]
2. Use of personalised risk-based screening schedules to optimise workload and sojourn time in screening programmes for diabetic retinopathy: A retrospective cohort study.
Ochs A; McGurnaghan S; Black MW; Leese GP; Philip S; Sattar N; Styles C; Wild SH; McKeigue PM; Colhoun HM;
PLoS Med; 2019 Oct; 16(10):e1002945. PubMed ID: 31622334
[TBL] [Abstract][Full Text] [Related]
3. Predicted impact of extending the screening interval for diabetic retinopathy: the Scottish Diabetic Retinopathy Screening programme.
Looker HC; Nyangoma SO; Cromie DT; Olson JA; Leese GP; Philip S; Black MW; Doig J; Lee N; Briggs A; Hothersall EJ; Morris AD; Lindsay RS; McKnight JA; Pearson DW; Sattar NA; Wild SH; McKeigue P; Colhoun HM;
Diabetologia; 2013 Aug; 56(8):1716-25. PubMed ID: 23689796
[TBL] [Abstract][Full Text] [Related]
4. Deep learning detection of diabetic retinopathy in Scotland's diabetic eye screening programme.
Fleming AD; Mellor J; McGurnaghan SJ; Blackbourn LAK; Goatman KA; Styles C; Storkey AJ; McKeigue PM; Colhoun HM
Br J Ophthalmol; 2024 Jun; 108(7):984-988. PubMed ID: 37704266
[TBL] [Abstract][Full Text] [Related]
5. Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.
Zhang G; Lin JW; Wang J; Ji J; Cen LP; Chen W; Xie P; Zheng Y; Xiong Y; Wu H; Li D; Ng TK; Pang CP; Zhang M
BMJ Open; 2022 Jul; 12(7):e060155. PubMed ID: 35902186
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
Ting DSW; Cheung CY; Lim G; Tan GSW; Quang ND; Gan A; Hamzah H; Garcia-Franco R; San Yeo IY; Lee SY; Wong EYM; Sabanayagam C; Baskaran M; Ibrahim F; Tan NC; Finkelstein EA; Lamoureux EL; Wong IY; Bressler NM; Sivaprasad S; Varma R; Jonas JB; He MG; Cheng CY; Cheung GCM; Aung T; Hsu W; Lee ML; Wong TY
JAMA; 2017 Dec; 318(22):2211-2223. PubMed ID: 29234807
[TBL] [Abstract][Full Text] [Related]
8. Modelling the cost-effectiveness of adopting risk-stratified approaches to extended screening intervals in the national diabetic retinopathy screening programme in Scotland.
Scotland G; McKeigue P; Philip S; Leese GP; Olson JA; Looker HC; Colhoun HM; Javanbakht M
Diabet Med; 2016 Jul; 33(7):886-95. PubMed ID: 27040994
[TBL] [Abstract][Full Text] [Related]
9. THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.
Vaghefi E; Yang S; Xie L; Hill S; Schmiedel O; Murphy R; Squirrell D
Diabet Med; 2021 Apr; 38(4):e14386. PubMed ID: 32794618
[TBL] [Abstract][Full Text] [Related]
10. Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
Heydon P; Egan C; Bolter L; Chambers R; Anderson J; Aldington S; Stratton IM; Scanlon PH; Webster L; Mann S; du Chemin A; Owen CG; Tufail A; Rudnicka AR
Br J Ophthalmol; 2021 May; 105(5):723-728. PubMed ID: 32606081
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study.
Aravindhan A; Fenwick EK; Chan AWD; Man REK; Tan NC; Wong WT; Soo WF; Lim SW; Wee SY; Sabanayagam C; Finkelstein E; Tan G; Hamzah H; Chakraborty B; Acharyya S; Shyong TE; Scanlon P; Wong TY; Lamoureux EL
BMC Public Health; 2024 Mar; 24(1):786. PubMed ID: 38481239
[TBL] [Abstract][Full Text] [Related]
13. Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System.
van der Heijden AA; Abramoff MD; Verbraak F; van Hecke MV; Liem A; Nijpels G
Acta Ophthalmol; 2018 Feb; 96(1):63-68. PubMed ID: 29178249
[TBL] [Abstract][Full Text] [Related]
14. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.
Islam MM; Yang HC; Poly TN; Jian WS; Jack Li YC
Comput Methods Programs Biomed; 2020 Jul; 191():105320. PubMed ID: 32088490
[TBL] [Abstract][Full Text] [Related]
15. An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs.
Li Z; Keel S; Liu C; He Y; Meng W; Scheetz J; Lee PY; Shaw J; Ting D; Wong TY; Taylor H; Chang R; He M
Diabetes Care; 2018 Dec; 41(12):2509-2516. PubMed ID: 30275284
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
González-Gonzalo C; Sánchez-Gutiérrez V; Hernández-Martínez P; Contreras I; Lechanteur YT; Domanian A; van Ginneken B; Sánchez CI
Acta Ophthalmol; 2020 Jun; 98(4):368-377. PubMed ID: 31773912
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based detection and stage grading for optimising diagnosis of diabetic retinopathy.
Wang Y; Yu M; Hu B; Jin X; Li Y; Zhang X; Zhang Y; Gong D; Wu C; Zhang B; Yang J; Li B; Yuan M; Mo B; Wei Q; Zhao J; Ding D; Yang J; Li X; Yu W; Chen Y
Diabetes Metab Res Rev; 2021 May; 37(4):e3445. PubMed ID: 33713564
[TBL] [Abstract][Full Text] [Related]
18. A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study.
Li N; Ma M; Lai M; Gu L; Kang M; Wang Z; Jiao S; Dang K; Deng J; Ding X; Zhen Q; Zhang A; Shen T; Zheng Z; Wang Y; Peng Y
J Diabetes; 2022 Feb; 14(2):111-120. PubMed ID: 34889059
[TBL] [Abstract][Full Text] [Related]
19. Automated analysis of retinal images for detection of referable diabetic retinopathy.
Abràmoff MD; Folk JC; Han DP; Walker JD; Williams DF; Russell SR; Massin P; Cochener B; Gain P; Tang L; Lamard M; Moga DC; Quellec G; Niemeijer M
JAMA Ophthalmol; 2013 Mar; 131(3):351-7. PubMed ID: 23494039
[TBL] [Abstract][Full Text] [Related]
20. Rates of referable eye disease in the Scottish National Diabetic Retinopathy Screening Programme.
Looker HC; Nyangoma SO; Cromie DT; Olson JA; Leese GP; Black MW; Doig J; Lee N; Lindsay RS; McKnight JA; Morris AD; Pearson DW; Philip S; Wild SH; Colhoun HM; ;
Br J Ophthalmol; 2014 Jun; 98(6):790-5. PubMed ID: 24599419
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]