417 related articles for article (PubMed ID: 33389425)
1. 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]
2. Artificial intelligence-based screening for diabetic retinopathy at community hospital.
He J; Cao T; Xu F; Wang S; Tao H; Wu T; Sun L; Chen J
Eye (Lond); 2020 Mar; 34(3):572-576. PubMed ID: 31455902
[TBL] [Abstract][Full Text] [Related]
3. Validation of Automated Screening for Referable Diabetic Retinopathy With an Autonomous Diagnostic Artificial Intelligence System in a Spanish Population.
Shah A; Clarida W; Amelon R; Hernaez-Ortega MC; Navea A; Morales-Olivas J; Dolz-Marco R; Verbraak F; Jorda PP; van der Heijden AA; Peris Martinez C
J Diabetes Sci Technol; 2021 May; 15(3):655-663. PubMed ID: 32174153
[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. 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]
6. [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]
7. Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera.
Kubin AM; Huhtinen P; Ohtonen P; Keskitalo A; Wirkkala J; Hautala N
Ann Med; 2024 Dec; 56(1):2352018. PubMed ID: 38738798
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.
Surya J; Garima ; Pandy N; Hyungtaek Rim T; Lee G; Priya MNS; Subramanian B; Raman R
Indian J Ophthalmol; 2023 Aug; 71(8):3039-3045. PubMed ID: 37530278
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study.
Zhang Y; Shi J; Peng Y; Zhao Z; Zheng Q; Wang Z; Liu K; Jiao S; Qiu K; Zhou Z; Yan L; Zhao D; Jiang H; Dai Y; Su B; Gu P; Su H; Wan Q; Peng Y; Liu J; Hu L; Ke T; Chen L; Xu F; Dong Q; Terzopoulos D; Ning G; Xu X; Ding X; Wang W
BMJ Open Diabetes Res Care; 2020 Oct; 8(1):. PubMed ID: 33087340
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and Medios Artificial Intelligence.
Grzybowski A; Rao DP; Brona P; Negiloni K; Krzywicki T; Savoy FM
Ophthalmic Res; 2023; 66(1):1286-1292. PubMed ID: 37757777
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data.
Lin S; Ma Y; Xu Y; Lu L; He J; Zhu J; Peng Y; Yu T; Congdon N; Zou H
JMIR Public Health Surveill; 2023 Feb; 9():e41624. PubMed ID: 36821353
[TBL] [Abstract][Full Text] [Related]
15. EyeArt artificial intelligence analysis of diabetic retinopathy in retinal screening events.
Vought R; Vought V; Shah M; Szirth B; Bhagat N
Int Ophthalmol; 2023 Dec; 43(12):4851-4859. PubMed ID: 37847478
[TBL] [Abstract][Full Text] [Related]
16. Clinical evaluation of AI-assisted screening for diabetic retinopathy in rural areas of midwest China.
Hao S; Liu C; Li N; Wu Y; Li D; Gao Q; Yuan Z; Li G; Li H; Yang J; Fan S
PLoS One; 2022; 17(10):e0275983. PubMed ID: 36227905
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Real-world evaluation of smartphone-based artificial intelligence to screen for diabetic retinopathy in Dominica: a clinical validation study.
Kemp O; Bascaran C; Cartwright E; McQuillan L; Matthew N; Shillingford-Ricketts H; Zondervan M; Foster A; Burton M
BMJ Open Ophthalmol; 2023 Dec; 8(1):. PubMed ID: 38135351
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Gulshan V; Peng L; Coram M; Stumpe MC; Wu D; Narayanaswamy A; Venugopalan S; Widner K; Madams T; Cuadros J; Kim R; Raman R; Nelson PC; Mega JL; Webster DR
JAMA; 2016 Dec; 316(22):2402-2410. PubMed ID: 27898976
[TBL] [Abstract][Full Text] [Related]
20. Medios- An offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy.
Sosale B; Sosale AR; Murthy H; Sengupta S; Naveenam M
Indian J Ophthalmol; 2020 Feb; 68(2):391-395. PubMed ID: 31957735
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
