Editorials

• Ferrara D, Newton EM, Lee A. Artificial intelligence-based predictions in neovascular age-related macular degeneration. Current Opinion in Ophthalmology.  September 2021. Volume 32, Issue 5, p 389-396. doi: 10.1097/ICU.0000000000000782

• Lee CS, Brandt JD, Lee AY. Big Data and Artificial Intelligence in Ophthalmology: Where Are We Now? Ophthalmology Science. 2021 June. doi.org/10.1016/j.xops.2021.100036

• Lee AY, Yuan A. Automated Retinal Fluid Volume Quantification: A Nod to Present and Future Applications of Deep Learning. JAMA Ophthalmology. 2021;139(7):741-742. doi:10.1001/jamaophthalmol.2021.1284

• Lee AY, Campbell JP, Hwang TS, Lum F, Chew EY, for the American Academy of Ophthalmology. Recommendations for Standardization of Images in Ophthalmology. 2021. Vol 128, Issue 7, pp. 969-970. doi.org/10.1016/j.ophtha.2021.03.003

• Lee AY, Lee CS, Hunt MS, Yanigihara RT, Blazes M, Boyko EJ. Response to Comment on Lee et al. Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems. Diabetes Care 2021;44:1168–1175. Diabetes Care 2021 May; 44(5): e108-e109. doi.org/10.2337/dci21-0007

• Lee AY, Yuan A. Automated Retinal Fluid Volume Quantification: A Nod to Present and Future Applications of Deep Learning. JAMA Ophthalmology. 2021 May 13. doi:10.1001/jamaophthalmol.2021.1284. Online ahead of print. PMID: 33983388

• Lee AY, Campbell JP, Hwang TS, Lum F, Chew EY. Recommendations for Standardization of Images in Ophthalmology. Ophthalmology. 2021 April 5; S0161-6420(21)00164-0. PMID: 33832778. doi: 10.1016/j.ophtha.2021.03.003. Read more about this paper here...

• Blazes M, Lee CS. Understanding the Brain through Aging Eyes. Adv Geriatr Med Res. 2021;3(2):e210008. doi: 10.20900/agmr20210008. Read more about this paper here...

2020

• Cole E, Valikodath NG, Maa A, Chan RVP, Chiang MF, Lee AY, Tu DC, Hwang TS. Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology. Ophthalmology. 2020 Dec 23;. doi: 10.1016/j.ophtha.2020.11.019. [Epub ahead of print] PubMed PMID: 33358411.

• Campbell JP, Lee AY, Abramoff M, Keane PA, Ting DSW, Lum F, Chiang M. Reporting guidelines for artificial intelligence in medical research. Opthalmology. 2020. doi.org/10.1016/j.ophtha.2020.09.009.

• Hunt MS, Kihara Y, Lee AY. Novel Low-Shot Deep Learning Approach for Retinal Image Classification With Few Examples. JAMA Ophthalmol. 2020. doi: 0.1001/jamaophthalmol.2020.3256. PMID: 32880607.

• Wang SY, Pershing S, Lee AY; AAO Taskforce on AI and AAO Medical Information Technology Committee. Big data requirements for artificial intelligence. Curr Opin Ophthalmol. 2020;31(5):318-323. doi:10.1097/ICU.0000000000000676. PMID: 32657996.

• Tom E, Keane PA, Blazes M, Pasquale LR, Chiang MF, Lee AY, Lee CS, AAO Artificial Intelligence Task Force. Protecting Data Privacy in the Age of AI-Enabled Opthalmology. Trans. Vis. Sci. Tech. 2020;9(2):36. doi:https://doi.org/10.1167/tvst.9.2.36. [Online ahead of print.]PMID: 32855840
  Read more about this paper here...

• Thng Z, DeSmet M, Lee CS, Gupta V, Smith JR et al. COVID-19 and Immunosuppression - A review of current clinical experiences and implications for ophthalmology patients taking immunosuppressive drugs. British J Ophth. 2020. Jun 12. doi: 10.1136/bjophthalmol-2020-316586 Online ahead of print. PMID: 32532764

• Lee CS, Lee AY. Clinical applications of continual learning machine learning. Lancet Digital Health 2 (6), e279-e281, 2020. Read more about this paper here...

• Parrish RK 2nd, Pasquale LR, Lee AY, Folberg R, Stewart MW, Duncan Powers SL. Who Could Know Who I Am? The Possibility of Patient Identification With Retinal Imaging. Am J Ophthalmol. 2020 May 18:S0002-9394(20)30151-3. doi: 10.1016/j.ajo.2020.03.039. Online ahead of print.PMID: 32456787 No abstract available.

• Lee CS, Apte RS. Retinal biomarkers of Alzheimer's disease. Am J Ophthalmol. 2020; 218: 337-341. doi.org/10.1016/j.ajo.2020.04.040 PMID: 32387435

• Petersen CA, Mehta P, Lee AY. Data-Driven, Feature-Agnostic Deep Learning vs Retinal Nerve Fiber Layer Thickness for the Diagnosis of Glaucoma. JAMA Ophthalmol. 2020 Feb 13;. doi: 10.1001/jamaophthalmol.2019.6143. [Epub ahead of print] PubMed PMID: 32053135. Read more about this paper here...

• Lee CS & Lee AY. How Artificial Intelligence Can Transform Randomized Controlled Trials. Trans. Vis. Sci. Tech. 2020;9(2):9.2020;9(2):9. doi: https://doi.org/10.1167/tvst.9.2.9. Read more about this paper here...

• Yanagihara RT, Lee CS, Ting DSW, Lee AY. Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review. Trans. Vis. Sci. Tech. 2020;9(2):11.  doi: https://doi.org/10.1167/tvst.9.2.11. Read more about this paper here...

• Lee CS, Yanagihara RT, Lee AY. Using Deep Learning Models to Characterize Major Retinal Features on Color Fundus Photographs. Ophthalmology. 2020 Jan;127 (1):95-96. doi: 10.1016/j.ophtha.2019.07.014. PubMed PMID: 31864476.

• Ung L, Bispo P, Doan T, Van Gelder R, Gilmore M, Lietman T, Margolis T, Zegans M, Lee C, Chodosh J. Clinical metagenomics for infectious corneal ulcers: Rags to riches? Ocul Surf. 2020; 18(1):1-12. doi: 10.1016/j.jtos.2019.10.007. PMID: 31669750

2019

• Ting DSW, Lee AY, Wong TY. An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence. Ophthalmology. 2019 Nov;126(11):1475-1479. doi: 10.1016/j.ophtha.2019.09.014. Epub 2019 Sep 21. PubMed PMID: 31635697.

• Bojikian KD, Lee CS, Lee AY. Finding Glaucoma in Color Fundus Photographs Using Deep Learning. JAMA Ophthalmol. 2019 Sep 12;. doi: 10.1001/jamaophthalmol. 2019.3512. [Epub ahead of print] PubMed PMID: 31513255.

• Lee AY. Machine diagnosis. Nature. 2019 Apr 10. doi: 10.1038/d41586-019-01112-x. PMID: 32269370. Read more about this paper here...

• Lee AY, Taylor P, Kalpathy-Cramer J, Tufail A. Reply. Ophthalmology. 2018 Dec;125(12):e86. doi: 10.1016/j.ophtha.2018.06.036. Epub 2018 Oct 19. PubMed PMID: 30343936.

• Lee CS, Rokem A, Lee AY. Reply. Ophthalmol Retina. 2018 Feb;2(2):e3. doi: 10.1016/j.oret.2017.11.006. Epub 2017 Dec 22. PubMed PMID: 31047354.

• Lee AY, Taylor P, Kalpathy-Cramer J, Tufail A. Machine Learning Has Arrived!. Ophthalmology. 2017 Dec;124(12):1726-1728. doi: 10.1016/j.ophtha.2017.08.046. PubMed PMID: 29157423.

• Lee CS, Van Gelder RN, Lee AY. Reply. Ophthalmology. 2017 Aug;124(8):e65-e66. doi: 10.1016/j.ophtha.2017.03.038. PubMed PMID: 28734343. 

• Lee CS, Lee AY, Holland GN, Van Gelder RN, Tufail A. Big Data and Uveitis. Ophthalmology. 2016 Nov;123(11):2273-2275. doi: 10.1016/j.ophtha.2016.08.037. PubMed PMID: 27772646; PubMed Central PMCID: PMC5606229.

• Lee CS, Agrawal R, Pavesio C. Ocular Tuberculosis--A Clinical Conundrum. Ocul Immunol Inflamm. 2016;24(2):237-42. doi: 10.3109/09273948.2014.985387. Epub 2015 Jun 25. PubMed PMID: 26110355; PubMed Central PMCID: PMC4760910.

• Agrawal R, Lee CS, Phatak S, Pavesio C. Immunopharmacotherapy of non-infectious uveitis: where do we stand?. Expert Opin Biol Ther. 2014 Dec;14(12):1719-22. doi: 10.1517/14712598.2014.963049. Epub 2014 Sep 22. Review. PubMed PMID: 25244075; PubMed Central PMCID: PMC4548880.