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.
158 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. Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students. Lyu X; Dong L; Fan Z; Sun Y; Zhang X; Liu N; Wang D BMC Med Educ; 2024 Jul; 24(1):740. PubMed ID: 38982410 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence. Doğan ME; Bilgin AB; Sari R; Bulut M; Akar Y; Aydemir M Eye (Lond); 2024 Jun; 38(9):1694-1701. PubMed ID: 38467864 [TBL] [Abstract][Full Text] [Related]
9. Effectiveness of Conventional Digital Fundus Photography-Based Teleretinal Screening for Diabetic Retinopathy and Diabetic Macular Edema: A Report by the American Academy of Ophthalmology. Weng CY; Maguire MG; Flaxel CJ; Jain N; Kim SJ; Patel S; Smith JR; Kim LA; Yeh S Ophthalmology; 2024 Aug; 131(8):927-942. PubMed ID: 38613533 [TBL] [Abstract][Full Text] [Related]
11. Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy. Ipp E; Liljenquist D; Bode B; Shah VN; Silverstein S; Regillo CD; Lim JI; Sadda S; Domalpally A; Gray G; Bhaskaranand M; Ramachandra C; Solanki K; JAMA Netw Open; 2021 Nov; 4(11):e2134254. PubMed ID: 34779843 [TBL] [Abstract][Full Text] [Related]
12. Use of offline artificial intelligence in a smartphone-based fundus camera for community screening of diabetic retinopathy. Jain A; Krishnan R; Rogye A; Natarajan S Indian J Ophthalmol; 2021 Nov; 69(11):3150-3154. PubMed ID: 34708760 [TBL] [Abstract][Full Text] [Related]
13. Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital. Liu R; Li Q; Xu F; Wang S; He J; Cao Y; Shi F; Chen X; Chen J Biomed Eng Online; 2022 Jul; 21(1):47. PubMed ID: 35859144 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Deep learning-based analysis of infrared fundus photography for automated diagnosis of diabetic retinopathy with cataracts. Xue W; Zhang J; Ma Y; Hou J; Xiao F; Feng R; Zhao R; Zou H J Cataract Refract Surg; 2023 Oct; 49(10):1043-1048. PubMed ID: 37488748 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Artificial Intelligence Detection of Diabetic Retinopathy: Subgroup Comparison of the EyeArt System with Ophthalmologists' Dilated Examinations. Lim JI; Regillo CD; Sadda SR; Ipp E; Bhaskaranand M; Ramachandra C; Solanki K Ophthalmol Sci; 2023 Mar; 3(1):100228. PubMed ID: 36345378 [TBL] [Abstract][Full Text] [Related]
18. Comparison of standardized clinical classification with fundus photograph grading for the assessment of diabetic retinopathy and diabetic macular edema severity. Gangaputra S; Lovato JF; Hubbard L; Davis MD; Esser BA; Ambrosius WT; Chew EY; Greven C; Perdue LH; Wong WT; Condren A; Wilkinson CP; Agrón E; Adler S; Danis RP; Retina; 2013; 33(7):1393-9. PubMed ID: 23615341 [TBL] [Abstract][Full Text] [Related]
19. Evaluation of a novel artificial intelligence-based screening system for diabetic retinopathy in community of China: a real-world study. Ming S; Xie K; Lei X; Yang Y; Zhao Z; Li S; Jin X; Lei B Int Ophthalmol; 2021 Apr; 41(4):1291-1299. PubMed ID: 33389425 [TBL] [Abstract][Full Text] [Related]
20. [Use of artificial intelligence in screening for diabetic retinopathy at a tertiary diabetes center]. Paul S; Tayar A; Morawiec-Kisiel E; Bohl B; Großjohann R; Hunfeld E; Busch M; Pfeil JM; Dähmcke M; Brauckmann T; Eilts S; Bründer MC; Grundel M; Grundel B; Tost F; Kuhn J; Reindel J; Kerner W; Stahl A Ophthalmologie; 2022 Jul; 119(7):705-713. PubMed ID: 35080640 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]