ABOUT THIS EPISODE
Dr. Aaron Lee from the University of Washington shares his insights on deep learning and biobanking as it relates to the current and future landscape of Ophthalmology. He discusses his recent article: "Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images".
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of American Journal of Ophthalmology Podcasts Collection.
OTHER EPISODES IN THIS PODCAST
Dr. David Brown from Retina Consultants of Texas discusses where brolucizumab fits in the treatment paradigm for diabetic macular edema based on two recent phase III trials.
Dr. Ananth Sastry from VitreoRetinal Surgeons in Minnesota discusses his clinically relevant paper, Visual Outcomes in Eyes With Neovascular Glaucoma and Anterior Segment Neovascularization Without Glaucoma
Dr. Audina Berrocal from Bascom Palmer Eye Institute discusses findings from her American Ophthalmological Society Thesis.
Prof. Andrew Anderson from the Department of Optometry & Vision Sciences, Melbourne, Australia presents his recent randomized control trial on the utility of blue blocking lenses.
Disclaimer: The podcast and artwork embedded on this page are from Various, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.
