15 Miscellaneous (215)

Showing records 1 to 25

Display all abstracts in classification 15 Miscellaneous

Search within classification 15 Miscellaneous
80986 Dietary Antioxidants, Macular Pigment, and Glaucomatous Neurodegeneration: A Review of the Evidence
Lawler T
Nutrients 2019; 11:
80914 Robust optic disc and cup segmentation with deep learning for glaucoma detection
Yu S
Computerized Medical Imaging and Graphics 2019; 74: 61-71
80856 Mobile Telephone Use and Reaction Time in Drivers With Glaucoma
Ogata NG
JAMA network open 2019; 2: e192169
80734 Assessing driving risk in patients with glaucoma
Correa PC
Arquivos Brasileiros de Oftalmologia 2019; 82: 245-252
81315 Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations
Wang L
Journal of Clinical Epidemiology 2019; 114: 84-94
80746 Short-Term Safety Evaluation of a Multi-Pressure Dial: A Prospective, Open-label, Non-randomized Study
Thompson VM
Ophthalmology and therapy 2019; 8: 279-287
80445 Ophthalmology specialist trainee survey in the United Kingdom
Dean WH
Eye 2019; 33: 917-924
80685 A Novel Surgical Method to Treat Chronic Ocular Hypotony
Gürelik G
Ophthalmic surgery, lasers & imaging retina 2019; 50: e56-e60
80881 Artificial Intelligence and Optical Coherence Tomography Imaging
Kapoor R
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2019; 8: 187-194
80967 A Novel Approach to Helping People with Glaucoma Use Their Drops Routinely
McDonald JE
Optometry and Vision Science 2019; 96: 331-334
80660 Glaucoma Patient Knowledge, Perceptions, and Predispositions for Telemedicine
Rhodes LA
Journal of Glaucoma 2019; 28: 481-486
80508 Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data
Stein JD
JAMA ophthalmology 2019; 137: 491-497
81178 Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology
Balyen L
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2019; 8: 264-272
81291 Association between radiation, glaucoma subtype, and retinal vessel diameter in atomic bomb survivors
Kiuchi Y
Scientific reports 2019; 9: 8642
81033 Caregiver Burden in Primary Congenital Glaucoma
Kantipuly A
American Journal of Ophthalmology 2019; 205: 106-114
81443 Johann Sebastian Bach's disease and his bizarre english physician
Miranda C M
Revista medica de Chile 2019; 147: 356-360
80543 Is there scope for expanding the optometrist's scope of practice in Singapore? - A survey of optometrists, opticians in Singapore
George PP
Contact Lens and Anterior Eye 2019; 42: 258-264
80855 Clinical application of NGS-based SNP haplotyping for the preimplantation genetic diagnosis of primary open angle glaucoma
Ji X
Systems biology in reproductive medicine 2019; 65: 258-263
81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Scheetz J
The Journal of continuing education in the health professions 2019; 39: 161-167
80583 Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment
Diaz-Pinto A
IEEE Transactions on Medical Imaging 2019; 38: 2211-2218
80881 Artificial Intelligence and Optical Coherence Tomography Imaging
Kapoor R
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2019; 8: 187-194
80518 Evaluation of deep convolutional neural networks for glaucoma detection
Phan S
Japanese Journal of Ophthalmology 2019; 63: 276-283
81088 Tackling the NHS glaucoma clinic backlog issue
Broadway DC
Eye 2019; 33: 1715-1721
80985 Development of a Spherical Model with a 3D Microchannel: An Application to Glaucoma Surgery
Gallab M
Micromachines 2019; 10:
80759 Chronotyping glaucoma patients with the Munich ChronoType Questionnaire: A case-control study
Bierings RAJM
PLoS ONE 2019; 14: e0214046

Issue 20-3

Select Issue