Need an answer and reference for the prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy in India ? 🤓
@SivaprasadSobha and colleagues have the answer here: 👀
bitly.ws/wLZs @TheLancet @LancetGH #diabetes #DiabetesAwareness
Livia Faes retweeted
Patients capable of performing mobile hyperacuity home-monitoring benefit in terms of visual acuity and discontinue treatment less often than patients not using home monitoring bmjopen.bmj.com/content/11/1… #ophthalmology #retina
Livia Faes retweeted
We are on the move – not only in our projects, but literally. As of March 1, you will find medignition, @AlleyeApp , Augenmobil and @CuraData at Engelstrasse. Enjoy the first sneak peek and stay tuned to see what the indoors look like, once we have unpacked!
Livia Faes retweeted
A new study by a group of Swiss, British and US American researchers investigates the visual outcomes and treatment adherence of patients with macular pathology using a mobile hyperacuity home monitoring app. Read the results here: bmjopen.bmj.com/content/11/1…
Livia Faes retweeted
Our new paper is out where try to address one of the big controversies in modern data analysis
frontiersin.org/articles/10.…
Livia Faes retweeted
We learnt a lot from the interesting cases and faculty discussions during last nights inaugural EURETINA Case Club with the #retina fellows from @Moorfields Eye Hospital. If you missed it why not check out the replay here: ow.ly/HTO550GLA1n
#ophthalmology @YoungRetina
Livia Faes retweeted
So proud to be involved in this awesome project carried out by @meriamsislam - first gen @EricTopol digital fellow extraordinaire, funded by @NHS_HealthEdEng hosted by @Moorfields department of #digital medicine @pbmthomas @clairerobo84 AND supported by the creators of @AlleyeApp
"#Smartphone-based remote monitoring of vision in #maculardisease enables early detection of worsening pathology and need for #intravitrealtherapy"
Article >> ow.ly/Hl0G50EVmqL
@pbmthomas @medignition @dawnasim
#teleopthalmology #observationalstudy #digitalhealth
Livia Faes retweeted
Siegfried Wagner, clinical research fellow at @Moorfields and @UCLeye, explains how #AI and #deeplearning can help to detect diseases, from dementia to diabetes #OphthoTwitter bit.ly/2R37tCN
Livia Faes retweeted
The eyes are a window into the soul - and a lens into disease. Brilliant talk by the amazing @sktywagner on AI and the eye to spot dementia.
youtube.com/watch?v=2oxsQJm3…
Livia Faes retweeted
We are delighted to announce our 2021 Power List of the Top 100 Women in Ophthalmology, celebrating the impact our nominees have had on ophthalmic clinical practice, research, education, and industry.
Click below to see who made this year's list!
bit.ly/3rBkD6r
Livia Faes retweeted
The share of the population aged 65+ years increased from 6% in 1990 to 9% in 2019. It is expected that this proportion rises to 16% in 2050.
Source: @OurWorldInData
Livia Faes retweeted
In study of 926 eyes, @pearsekeane & @DunJackFu use OCT biomarkers from @Moorfields automatic optical coherence tomography segmentation to predict disease activity and treatment-response in wet age-related #maculardegeneration ow.ly/MWcx50DqrKI
Livia Faes retweeted
Grab your tickets now at lnkd.in/dSZ-SFr
Siegfried Wagner, an ophthalmologist at Moorfields Eye Hospital, has been working on this #AlzEye research project, which attempts to use the eye as a window to detect signals about the health of other organs.
@sktywagner
ALT TEDxLBS speaker
Livia Faes retweeted
Moorfields' 12-year dataset of anti-VEGF in nAMD deidentified and made open-source. Survival analysis shows that patients were likely to experience positive visual outcome within 2 years, which was sustained for another year ja.ma/3fd42Br @EyeCharity
Livia Faes retweeted
Our new paper in @JAMAOphth from the @pearsekeane team
We propose time-event analyses as the standard for visual outcome analysis in retrospective, real-world ophthalmology studies.
Using these methods on (n=7802) nAMD patients @Moorfields produced long-term prognostic insights
Moorfields' 12-year dataset of anti-VEGF in nAMD deidentified and made open-source. Survival analysis shows that patients were likely to experience positive visual outcome within 2 years, which was sustained for another year ja.ma/3fd42Br @EyeCharity
Livia Faes retweeted
And we’re live!!!
Virtual Open Day - Telemedicine for Ophthalmology bit.ly/36jzWYJ
Livia Faes retweeted
Out now! our paper on findings from a global survey of 214 retina experts on the implementation of digital health in retina care during the #covid19 pandemic, led by the brilliant @FaesLiv, on behalf of the International Retinal Collaborative @allerganeye bjo.bmj.com/content/early/20…
Livia Faes retweeted
Looking forward to sharing the story behind how scans of our eyes can reveal our general health. Work done with an amazing team @pearsekeane @Rahi_Eye_Vision @Denniston_Ophth @cortina_borja @npontikos @s_e_petersen @MoorfieldsBRC @UCLeye
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Livia Faes retweeted
Künstliche Intelligenz in der Augenheilkunde: Leitfaden für Ärzte zur kritischen Bewertung von Studien
@Ophthalmologen @CellTypist @FaesLiv @tjebn @MalocaPeter @PhilippLMuller @von_emde
doi.org/10.1007/s00347-020-0…