New in @JAMAOphth ! In this brief report, we show that a generalist vision-language model (VLM) may have limited capabilities in performing tasks related to the interpretation of OCT scans. @pearsekeane@reena_cho
https://t.co/7W7MgO7Gf9
How is #NHS patient data contributing to research into eye disease and the growing field of #oculomics?
Our new web page provides answers, explaining how patient data is collected, anonymised and used in R&D for patient benefit.
#datasavessight
https://t.co/J90oGUywot
Great work, @dominicwllmsn, for leading our project on using AI to enhance clinical trial recruitment in geographic atrophy.
The AI system can shortlist patients by looking through their OCTs for unique imaging inclusion criteria like GA lesion area, foveal involvement, etc.
Preprint alert. #AI could aid #clinicaltrials recruitment of people with geographic atrophy (GA), which causes irreversible vision loss and affects 5-10 million globally.
The study used anonymised eye data from 300k+ patients at @Moorfields
🔗 https://t.co/toS90rZm4Z
Paper published today in @JAMAOphth! 🎉 How clinically useful are automatic segmentations of retinal disease from a deep learning model? We find that both qualitative and quantitative approaches are required to find out... mini thread below! https://t.co/jK9KraeVQb
2 billion people globally suffer from skin conditions. Our CE-marked AI-powered dermatology tool will help people research common skin conditions. https://t.co/Z9bwC3f6AO #GoogleIO
1. I watched #Seaspiracy on Netflix last night. It’s a brilliant expose of the greatest threat to marine life: fishing.
This thread explores why we have so seldom heard the the truth about what’s happening to our oceans.
#TellTheTruth@GretaThunberg
https://t.co/rSEb3aGcKZ