219 related articles for article (PubMed ID: 34027334)
1. Artificial intelligence for the detection of age-related macular degeneration in color fundus photographs: A systematic review and meta-analysis.
Dong L; Yang Q; Zhang RH; Wei WB
EClinicalMedicine; 2021 May; 35():100875. PubMed ID: 34027334
[TBL] [Abstract][Full Text] [Related]
2. Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.
Burlina PM; Joshi N; Pekala M; Pacheco KD; Freund DE; Bressler NM
JAMA Ophthalmol; 2017 Nov; 135(11):1170-1176. PubMed ID: 28973096
[TBL] [Abstract][Full Text] [Related]
3. Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies.
Leng X; Shi R; Wu Y; Zhu S; Cai X; Lu X; Liu R
PLoS One; 2023; 18(4):e0284060. PubMed ID: 37023082
[TBL] [Abstract][Full Text] [Related]
4. A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography.
Grassmann F; Mengelkamp J; Brandl C; Harsch S; Zimmermann ME; Linkohr B; Peters A; Heid IM; Palm C; Weber BHF
Ophthalmology; 2018 Sep; 125(9):1410-1420. PubMed ID: 29653860
[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. Optical coherence tomography for the diagnosis, monitoring and guiding of treatment for neovascular age-related macular degeneration: a systematic review and economic evaluation.
Mowatt G; Hernández R; Castillo M; Lois N; Elders A; Fraser C; Aremu O; Amoaku W; Burr J; Lotery A; Ramsay C; Azuara-Blanco A
Health Technol Assess; 2014 Dec; 18(69):1-254. PubMed ID: 25436855
[TBL] [Abstract][Full Text] [Related]
7. Application of artificial intelligence in the diagnosis of subepithelial lesions using endoscopic ultrasonography: a systematic review and meta-analysis.
Liu XY; Song W; Mao T; Zhang Q; Zhang C; Li XY
Front Oncol; 2022; 12():915481. PubMed ID: 36046054
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis.
Cheung R; Chun J; Sheidow T; Motolko M; Malvankar-Mehta MS
Eye (Lond); 2022 May; 36(5):994-1004. PubMed ID: 33958739
[TBL] [Abstract][Full Text] [Related]
9. Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis.
Xue Y; Zhou Y; Wang T; Chen H; Wu L; Ling H; Wang H; Qiu L; Ye D; Wang B
Int J Endocrinol; 2022; 2022():9492056. PubMed ID: 36193283
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis.
Tan Y; Ma Y; Rao S; Sun X
Eur J Ophthalmol; 2024 Mar; 34(2):502-509. PubMed ID: 37671422
[TBL] [Abstract][Full Text] [Related]
12. Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.
Visaggi P; Barberio B; Gregori D; Azzolina D; Martinato M; Hassan C; Sharma P; Savarino E; de Bortoli N
Aliment Pharmacol Ther; 2022 Mar; 55(5):528-540. PubMed ID: 35098562
[TBL] [Abstract][Full Text] [Related]
13. Automatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images.
van Grinsven MJ; Lechanteur YT; van de Ven JP; van Ginneken B; Hoyng CB; Theelen T; Sánchez CI
Invest Ophthalmol Vis Sci; 2013 Apr; 54(4):3019-27. PubMed ID: 23572106
[TBL] [Abstract][Full Text] [Related]
14. Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis.
Wu JH; Liu TYA; Hsu WT; Ho JH; Lee CC
J Med Internet Res; 2021 Jul; 23(7):e23863. PubMed ID: 34407500
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.
Cai S; Parker F; Urias MG; Goldberg MF; Hager GD; Scott AW
JAMA Ophthalmol; 2021 Feb; 139(2):206-213. PubMed ID: 33377944
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic accuracy of artificial intelligence in detecting retinitis pigmentosa: A systematic review and meta-analysis.
Musleh AM; AlRyalat SA; Abid MN; Salem Y; Hamila HM; Sallam AB
Surv Ophthalmol; 2024; 69(3):411-417. PubMed ID: 38042377
[TBL] [Abstract][Full Text] [Related]
17. Application of artificial intelligence in chronic liver diseases: a systematic review and meta-analysis.
Decharatanachart P; Chaiteerakij R; Tiyarattanachai T; Treeprasertsuk S
BMC Gastroenterol; 2021 Jan; 21(1):10. PubMed ID: 33407169
[TBL] [Abstract][Full Text] [Related]
18. From Data to Deployment: The Collaborative Community on Ophthalmic Imaging Roadmap for Artificial Intelligence in Age-Related Macular Degeneration.
Dow ER; Keenan TDL; Lad EM; Lee AY; Lee CS; Loewenstein A; Eydelman MB; Chew EY; Keane PA; Lim JI;
Ophthalmology; 2022 May; 129(5):e43-e59. PubMed ID: 35016892
[TBL] [Abstract][Full Text] [Related]
19. Interpretable Detection of Diabetic Retinopathy, Retinal Vein Occlusion, Age-Related Macular Degeneration, and Other Fundus Conditions.
Li W; Bian L; Ma B; Sun T; Liu Y; Sun Z; Zhao L; Feng K; Yang F; Wang X; Chan S; Dou H; Qi H
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38247998
[TBL] [Abstract][Full Text] [Related]
20. A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs.
Liu S; Graham SL; Schulz A; Kalloniatis M; Zangerl B; Cai W; Gao Y; Chua B; Arvind H; Grigg J; Chu D; Klistorner A; You Y
Ophthalmol Glaucoma; 2018; 1(1):15-22. PubMed ID: 32672627
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]