The Advent of Big Data and Machine Learning in Ophthalmology: The 2026 Cogan Lecture

Scott Song, Aaron Y. Lee, Cecilia S. Lee

Open source

DOI: 10.1167/iovs.67.12.72
Published: 2026-10-28
Container: Investigative Ophthalmology & Visual Science
Publisher: Association for Research in Vision and Ophthalmology (ARVO)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1167/iovs.67.12.72,
  title = {The Advent of Big Data and Machine Learning in Ophthalmology: The 2026 Cogan Lecture},
  author = {Scott Song and Aaron Y. Lee and Cecilia S. Lee},
  year = {2026},
  journal = {Investigative Ophthalmology \&amp; Visual Science},
  doi = {10.1167/iovs.67.12.72},
  url = {https://doi.org/10.1167/iovs.67.12.72}
}

RIS

TY  - JOUR
TI  - The Advent of Big Data and Machine Learning in Ophthalmology: The 2026 Cogan Lecture
AU  - Scott Song
AU  - Aaron Y. Lee
AU  - Cecilia S. Lee
PY  - 2026
JO  - Investigative Ophthalmology &amp; Visual Science
DO  - 10.1167/iovs.67.12.72
UR  - https://doi.org/10.1167/iovs.67.12.72
ER  -

APA

Song, S., Lee, A. Y., & Lee, C. S. (2026). The Advent of Big Data and Machine Learning in Ophthalmology: The 2026 Cogan Lecture. Investigative Ophthalmology & Visual Science. https://doi.org/10.1167/iovs.67.12.72

Source records

crossref · retrieved 2026-11-06T23:26:50.660Z