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The uvea is a vascular stratum that includes the iris, ciliary body and choroid. Uveitis is defined as inflammation of a part of the uvea or its entirety, but it is also used to describe inflammatory processes of any part of the eye, such as the vitreous or peripheral retina. The clinical taxonomy of uveitis […]

Kyoko Ohno-Matsui, EURETINA 2021: Advantages and Limitations of a Deep Learning Algorithm

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Published Online: Sep 20th 2021

We were delighted to speak with Kyoko Ohno-Matsui (Tokyo Medical and Dental University, Tokyo, Japan) about the potential advantages and limitations of a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images, and the challenges in developing this algorithm.

Questions

  1. What are the potential advantages and limitations of a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images? (00:25)
  2. What were the challenges in developing a deep learning algorithm? (02:23)

Speaker Disclosure: Kyoko Ohno-Matsui has no financial or non-financial relationships or activities to declare in relation to this interview.

Support: Interview and filming supported by Touch Medical Media Ltd. Interview conducted by Lisa Glass.

Filmed in coverage of EURETINA 2021.

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