SOBRE ESTE EPISÓDIO
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".
Inglês
Estados Unidos da América
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PESQUISAR EPISÓDIOS PASSADOS
Pesquisar episódios anteriores de American Journal of Ophthalmology Podcasts Collection.
OUTROS EPISÓDIOS NESTE PODCAST
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.
Dr. Audina Berrocal from Bascom Palmer Eye Institute discusses findings from her American Ophthalmological Society Thesis.
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
Aviso: O podcast e a arte incorporada nesta página são de Various, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
