223 related articles for article (PubMed ID: 35397598)
1. Using artificial intelligence reading label system in diabetic retinopathy grading training of junior ophthalmology residents and medical students.
Han R; Yu W; Chen H; Chen Y
BMC Med Educ; 2022 Apr; 22(1):258. PubMed ID: 35397598
[TBL] [Abstract][Full Text] [Related]
2. The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy.
Qian X; Jingying H; Xian S; Yuqing Z; Lili W; Baorui C; Wei G; Yefeng Z; Qiang Z; Chunyan C; Cheng B; Kai M; Yi Q
Front Public Health; 2022; 10():1025271. PubMed ID: 36419999
[TBL] [Abstract][Full Text] [Related]
3. Detection of retinal lesions in diabetic retinopathy: comparative evaluation of 7-field digital color photography versus red-free photography.
Venkatesh P; Sharma R; Vashist N; Vohra R; Garg S
Int Ophthalmol; 2015 Oct; 35(5):635-40. PubMed ID: 22961609
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Stereo nonmydriatic digital-video color retinal imaging compared with Early Treatment Diabetic Retinopathy Study seven standard field 35-mm stereo color photos for determining level of diabetic retinopathy.
Bursell SE; Cavallerano JD; Cavallerano AA; Clermont AC; Birkmire-Peters D; Aiello LP; Aiello LM;
Ophthalmology; 2001 Mar; 108(3):572-85. PubMed ID: 11237913
[TBL] [Abstract][Full Text] [Related]
6. No loss of chance of diabetic retinopathy screening by endocrinologists with a digital fundus camera.
Germain N; Galusca B; Deb-Joardar N; Millot L; Manoli P; Thuret G; Gain P; Estour B
Diabetes Care; 2011 Mar; 34(3):580-5. PubMed ID: 21266650
[TBL] [Abstract][Full Text] [Related]
7. Software for reading and grading diabetic retinopathy: Aravind Diabetic Retinopathy Screening 3.0.
Perumalsamy N; Prasad NM; Sathya S; Ramasamy K
Diabetes Care; 2007 Sep; 30(9):2302-6. PubMed ID: 17507695
[TBL] [Abstract][Full Text] [Related]
8. Screening of Diabetic Retinopathy Using Artificial Intelligence and Tele-Ophthalmology.
Kuklinski EJ; Henry RK; Shah M; Zarbin MA; Szirth B; Bhagat N
J Diabetes Sci Technol; 2023 Nov; 17(6):1724-1725. PubMed ID: 37642475
[No Abstract] [Full Text] [Related]
9. Artificial intelligence for diabetic retinopathy screening, prediction and management.
Gunasekeran DV; Ting DSW; Tan GSW; Wong TY
Curr Opin Ophthalmol; 2020 Sep; 31(5):357-365. PubMed ID: 32740069
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. [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]
13. Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.
Shah P; Mishra DK; Shanmugam MP; Doshi B; Jayaraj H; Ramanjulu R
Indian J Ophthalmol; 2020 Feb; 68(2):398-405. PubMed ID: 31957737
[TBL] [Abstract][Full Text] [Related]
14. Comparing diabetic retinopathy lesions in scanning laser ophthalmoscopy and colour fundus photography.
Nghiem AZ; Nderitu P; Lukic M; Khatun M; Largan R; Kortuem K; Balaskas K; Sim D
Acta Ophthalmol; 2019 Dec; 97(8):e1035-e1040. PubMed ID: 31286663
[TBL] [Abstract][Full Text] [Related]
15. Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software.
Wang XN; Dai L; Li ST; Kong HY; Sheng B; Wu Q
Curr Eye Res; 2020 Dec; 45(12):1550-1555. PubMed ID: 32410471
[No Abstract] [Full Text] [Related]
16. Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology.
Williams GA; Scott IU; Haller JA; Maguire AM; Marcus D; McDonald HR
Ophthalmology; 2004 May; 111(5):1055-62. PubMed ID: 15121388
[TBL] [Abstract][Full Text] [Related]
17. Performance of an artificial intelligence automated system for diabetic eye screening in a large English population.
Meredith S; van Grinsven M; Engelberts J; Clarke D; Prior V; Vodrey J; Hammond A; Muhammed R; Kirby P
Diabet Med; 2023 Jun; 40(6):e15055. PubMed ID: 36719266
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.
Olvera-Barrios A; Heeren TF; Balaskas K; Chambers R; Bolter L; Egan C; Tufail A; Anderson J
Br J Ophthalmol; 2021 Feb; 105(2):265-270. PubMed ID: 32376611
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.
Xie Y; Nguyen QD; Hamzah H; Lim G; Bellemo V; Gunasekeran DV; Yip MYT; Qi Lee X; Hsu W; Li Lee M; Tan CS; Tym Wong H; Lamoureux EL; Tan GSW; Wong TY; Finkelstein EA; Ting DSW
Lancet Digit Health; 2020 May; 2(5):e240-e249. PubMed ID: 33328056
[TBL] [Abstract][Full Text] [Related]
20. Concordance in diagnosis of diabetic retinopathy by fundus photography between retina specialists and a standardized reading center. Mexico City Diabetes Study Retinopathy Group.
Gonzalez ME; Gonzalez C; Stern MP; Arredondo B; Martinez S
Arch Med Res; 1995; 26(2):127-31. PubMed ID: 7620277
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
