Gabriel Katz

Dr. Gabriel Katz

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2015 in Graefe's Archive for Clinical and Experimental Ophthalmology
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Journal Article
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GKGabriel Katz
Gabriel Katz
SBSharon Blum
Sharon Blum
OLOmer Leeva
Omer Leeva
RARuth Axer-Siegel
Ruth Axer-Siegel
JMJoseph Moisseiev
Joseph Moisseiev
RERita Ehrlich
Rita Ehrlich

25 May 2010 in Graefe's Archive for Clinical and Experimental Ophthalmology
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Journal Article
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GKGabriel Katz
Gabriel Katz
HLHani Levkovitch-Verbin
Hani Levkovitch-Verbin
GTGiora Treister
Giora Treister
MBMichael Belkin
Michael Belkin
JIJacob Ilany
Jacob Ilany
UPUri Polat
Uri Polat

18 July 2016 in European Journal of Ophthalmology
Verified
Journal Article
Closed access
GKGabriel Katz
Gabriel Katz
EMElad Moisseiev
Elad Moisseiev
DGDafna Goldenberg
Dafna Goldenberg
JMJoseph Moisseiev
Joseph Moisseiev
YLYosef Lomnicky
Yosef Lomnicky
HLHani Levkovitch-Verbin
Hani Levkovitch-Verbin
Purpose: To evaluate the efficacy of switching from bevacizumab to ranibizumab in patients with diabetic macular edema (DME). Methods: This was a retrospective study of patients with DME initially treated with bevacizumab and switched to ranibizumab. Visual acuity (VA) and central retinal thickness (CRT) were retrieved at fixed timepoints prior to and after the switch. Results: Forty eyes of 32 patients were included in the study. The difference in VA between any of these fixed timepoints was not statistically significant. A significant gain in VA was found in eyes that lost more than 0.1 logMAR during treatment with the last 3 bevacizumab injections. The mean CRT was significantly lower after the first 3 ranibizumab injections and at the final follow-up (p<0.001), a 67 ± 14 μm and 78 ± 18 μm reduction in thickness, respectively. Conclusions: Switching to ranibizumab resulted in a significant decrease in the CRT of eyes with DME, and should be considered when there is a lack of response or deterioration while on bevacizumab injections. A significant gain in VA was observed in a subgroup of eyes that lost more than one line while receiving the last 3 bevacizumab injections prior to the switch.

1 February 2012 in Retina
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Journal Article
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GKGabriel Katz
Gabriel Katz
LGLouis Giavedoni
Louis Giavedoni
RMRajeev Muni
Rajeev Muni
TETeodoro Evans
Teodoro Evans
MPMatthew Pezda
Matthew Pezda
ABAlan Berger
Alan Berger
To evaluate the visual acuity results of monthly ranibizumab injections compared with a variable-dosing schedule for the treatment of neovascular age-related macular degeneration. A retrospective study that compared two cohorts of consecutive patients. All patients were treatment naive, with baseline visual acuity of 20/400 or better, and completed 12 months of therapy. In the first group all patients received monthly injections. In the other group, after 3 monthly loading doses, a variable-dosing schedule was used, based on a monthly clinical assessment and optical coherence tomography. Fifty-six consecutive patients (60 eyes) were included. At 12 months the median number of injections were 12 and 8, respectively, and the mean change in Snellen visual acuity was an improvement of 0.27 logarithm of the minimum angle of resolution in the monthly treated group versus 0.21 logarithm of the minimum angle of resolution improvement in the variable-dosing group (P = 0.53). In the monthly treated group 96.8% of eyes lost <0.3 logarithm of the minimum angle of resolution versus 96.6% of eyes in the variable-dosing group (P = 1.0). We were able to show that in our clinical setting patients achieved similar visual acuity results with either monthly injections or with a variable-dosing protocol. There was a trend toward better results with monthly treatment.

27 July 2023 in International Ophthalmology
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Journal Article
Closed access
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GKGabriel Katz
Gabriel Katz
EGEfrat Gur
Efrat Gur
JMJoseph Moisseiev
Joseph Moisseiev
ALAri Leshno
Ari Leshno

29 June 2026 in British Journal of Ophthalmology
Verified
Journal Article
Closed access
OGOr Gil
Or Gil
AAAmiram Arad
Amiram Arad
MFMiri Fogel
Miri Fogel
OVOfri Vorobichik-Berar
Ofri Vorobichik-Berar
GKGabriel Katz
Gabriel Katz
GCGal Yaakov Cohen
Gal Yaakov Cohen
Aim: To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) system (AEYE Diagnostic Screening (AEYE-DS), AEYE Health, USA) for diabetic retinopathy (DR) screening using the Topcon NW500 camera (Topcon, Japan) in an endocrinology clinic. Methods: Adults with type 1 or type 2 diabetes without previously reported DR attending routine endocrinology follow-up were invited to participate. Non-mydriatic, macula-centred fundus photographs were acquired by a novice, non-ophthalmic operator. Images were analysed by AEYE-DS to detect more-than-mild DR (mtmDR). AI-positive results prompted physician counselling and automated referral for internal confirmatory examination. Results: Definitive AEYE-DS results were obtained for 95.7% (245/256) of participants without pharmacological dilation. Seventy-six (29.6%) patients screened positive for mtmDR, of whom 34 (44.7%) completed confirmatory examination at the institution’s retina clinic; externally completed follow-up was not captured. Four patients (11.8% of those evaluated) required treatment with intravitreal anti-vascular endothelial growth factor therapy or panretinal photocoagulation. Additional previously unrecognised ocular conditions were identified among several AI-positive patients. Patient satisfaction was high, with >80% reporting the screening was easy to use, time-efficient and recommendable. Conclusions: In a real-world endocrinology clinic, autonomous AI screening for DR using AEYE-DS integrated with the Topcon NW500 enabled efficient DR screening and achieved high non-mydriatic imageability. A clinically relevant proportion of patients requiring ophthalmic evaluation has been captured. Internal referral for confirmatory testing enabled assessment of downstream outcomes. The findings support scalable, point-of-care autonomous screening and a stepped-referral approach for AI-positive patients.