It was a pleasure to catch up with Kyoko Ohno-Matsui (Tokyo Medical and Dental University, Tokyo, Japan), who discussed the results of her study evaluating a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images.
Questions
- What were the methodology and outcome measures of your study evaluating a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images? (00:26)
- How well were these outcome measures met? (01:24)
- What will be the clinical impact of these findings? (02:10)
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.
