Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

Further Publications

Artificial intelligence and deep learning in ophthalmology

Br J Ophthalmol.

Ting DSW, Pasquale LR, Peng L, Campbell JP, Lee AY, Raman R, Tan GSW, Schmetterer L, Keane PA, Wong TY

doi: 10.1136/bjophthalmol-2018-313173.

Retinal Diseases

Artificial intelligence in retina

Prog Retin Eye Res.

Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunović H

doi: 10.1016/

RECOMMENDED

Glaucoma and Ocular Pressure

Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard

★ 3 Recommended by Prof. Dr Ke Yao, Faculty Member

doi: 10.1016/j.ophtha.2020.03.008.

Glaucoma and Ocular PressureOcular OncologyRetinal Diseases

Mental stress as consequence and cause of vision loss: the dawn of psychosomatic ophthalmology for preventive and personalized medicine

EPMA Journal.

Sabel BA, Wang J, Cárdenas-Morales L, Faiq M, Heim C

doi: 10.1007/

Further PublicationsCataracts

Artificial Intelligence Applications and Cataract Management: A Systematic Review

Surv Ophthalmol

Tognetto D, Giglio R, Vinciguerra AL, Milan S, Rejdak R, Rejdak M, Zaluska-Ogryzek K, Zweifel S, Toro MD

doi: 10.1016/j.survophthal.2021.09.004

COMMENTED

Retinal Diseases

Overcoming barriers of retinal care delivery during a pandemic-attitudes and drivers for the implementation of digital health: a global expert survey

★ 2 Recommended and commented by Dr habil. Gábor Márk Somfai, PhD, Faculty Member

Br J Ophthalmol

Faes L, Rosenblatt A, Schwartz R, Touhami S, Ventura CV, Chatziralli IP, Ruiz-Medrano J, Vogt D, Savastano A, Ruiz-Garcia H, Pohlmann D, Loewenstein A, International Retinal Collaborative.

doi: 10.1136/bjophthalmol-2020-316882

Macular DiseasesRetinal Diseases

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

Eye (Lond).

Rajalakshmi R, Subashini R, Anjana RM, Mohan V

doi: 10.1038/s41433-018-0064-9.

Macular DiseasesRetinal DiseasesFurther Publications

Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study

Br J Ophthalmol

Holz FG, Abreu-Gonzalez R, Bandello F, Duval R, O'Toole L, Pauleikhoff D, Staurenghi G, Wolf A, Lorand D, Clemens A, Gmeiner B

doi: 10.1136/bjophthalmol-2021-319211

Glaucoma and Ocular Pressure

Characterization of Central Visual Field Loss in End-stage Glaucoma by Unsupervised Artificial Intelligence

★ 0 Recommended and commented by Prof. Dr emer. Josef Flammer, Faculty Member

JAMA Ophthalmol.

Wang M, Tichelaar J, Pasquale LR, Shen LQ, Boland MV, Wellik SR, De Moraes CG, Myers JS, Ramulu P, Kwon M, Saeedi OJ, Wang H, Baniasadi N, Li D, Bex PJ, Elze T

doi: 10.1001/jamaophthalmol.2019.5413.

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