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Artificial intelligence – from benchtop to bedside

Lead Organizer: Michael David Abramoff, MD, PhD, FARVO, Ophthalmology & Visual Sciences, University of Iowa Hospitals & Clinics, IDx

Presentation files and reference materials

The following files are for use by attendees of the course only. The list below represents the files submitted for delivery to attendees prior to the course. Presenters will be asked to give permission to distribute the remaining presentations after the course.

Varadarajan AV, Poplin R, Blumer K, et al. Deep learning for predicting refractive error from retinal fundus images. Invest Ophthalmol Vis Sci. 2018;59:2861–2868. https://doi.org/10.1167/iovs.18-23887. Distributed with permission
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Gulshan V, Peng L, Coram M, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016;31(22):2402–2410. doi:10.1001/jama.2016.17216. Distributed with permission
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Machine Learning - Diabetic Retinopathy and Beyond by Naama Hammel, MD
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Potential challenges of AI in OCT imaging by Bhavna Antony, PhD
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