Webinar: Impact of BIG data on Eyecare?

2023-05-22 18:00:41

14 October 2021 – Thursday

Webinar: What is the Impact of BIG data on Eyecare?

Hosted by The WAEH

Time: 13.00 Central European Time
Moderator: Maaike van Zuilen

Presenters

Aier Eye Hospital Group (China) – Professor Zheng Wang

Chief Director of Aier Refractive Academic Committee

Big Data Analysis Report on Myopia Surgery in China Market

On May 23rd, Aier School of Ophthalmology, Central South University and Aier Eye Research Institute jointly released Big Data Analysis Report on Myopia Surgery in China Market to the public, which sampled and studied 1.02 million eyes with myopia surgery performed at the Aier Eye Hospital in China from 2018 to 2020. This report provides insightful guidelines for myopia surgery quality improvement so as to benefit more patients with high-quality vision through advanced technology

Tays Eye Centre (Finland) – Professor Anja Tuulonen

Chief Physician, aces-rwm Project Leader
Tampere University Hospital
Tampere, Finland

A comprehensive model for measuring real-life cost-effectiveness in eyecare

A 12-minute summary of this paper: https://onlinelibrary.wiley.com/doi/epdf/10.1111/aos.14959.
Tays has already collected real-world data of 200 000 interventions in 2008-20 which we are currently analyzing.

Moorfields Eye Hospital (United KIngdom) – Dr. Konstantinos Balaskas

A team led by Dr Konstantinos Balaskas at Moorfields Eye Hospital Reading Centre has developed a fully automated, deep-learning model (algorithm) that can detect and quantify geographic atrophy using standard optical coherence tomography (OCT) scans. The algorithm will be hugely beneficial to clinicians providing care for patients with geographic atrophy (GA), who will need a reliable and fast way to assess the severity of geographic atrophy, how fast it progresses and how well it responds to emerging new treatments With research into ground-breaking new treatments for GA showing great promise, this new model helps pave the way for their effective use for patient benefit.

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