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awesome work by Jimmy Chen future resident at Shiley Eye Institute, OHSU School of Medicine med student, and RPB med student research fellowship grant recipient at OHSU Casey Eye. reiterating fundamental principles of AI in ophthalmology with a potential for global impact. ophthalmologyretina.org/article/S2468-…

We are excited to introduce SEI’s newest class of incoming residents, joining us summer of 2022. Welcome to the Shiley family!

Thank you for folks who have shared or commented on our paper. I know the paper is being used by some to dunk on Epic. Rather than piling on, I want to provide a clear-eyed view of what we found, what it means, and what I would suggest to Epic (& other model devs) going forward.

From my own work: International Classification of Retinopathy of Prematurity, 3rd Edition paper is published Ophthalmology. Will be a standard reference for clinicians & researchers. #ophthotwitter #medtwitter #neonatology Available free for 50 days: bit.ly/3dXFop0 1/5

From recent work: can #machinelearning using secondary #EHR data predict patients who will “no-show”? Yes, in a pediatric #ophthalmology clinic: could improve efficiency and target patients for assistance. Jimmy Chen Michelle Hribar AMIA pubmed.ncbi.nlm.nih.gov/33936401/

This cross-sectional study found outpatient notes were 60% longer in 2018 vs 2009, and that over two-thirds of text was from templates and redundant. Michelle Hribar Michael F. Chiang, MD stevenbedrick OHSU News OHSU Informatics OHSU Casey Eye ja.ma/3ioE9QZ

Clinicians spend a lot of time writing and reviewing documentation in the EHR, which results in significant #burnout. We still have a lot of work to do as a community working towards EHR designs that better support clinician workflows!

I hope trainees in #Ophthalmology, #Optometry, and vision research will truly appreciate the impact of #vision on quality of life - please consider Retweeting. From JAMA Ophthalmology editorial on NEI Strategic Plan, here's an anecdote that gave me insight on this... 1/7

Can incorporation of an #AI-based vascular severity score into a #RetinopathyofPrematurity (#ROP) risk model improve specificity and STILL have 100% sensitivity? You bet, and using just a single retinal fundus image acquired at 32 weeks PMA! 1/10 pubmed.ncbi.nlm.nih.gov/34814160/

Another application of #AI in #Ophthalmology!

Large, diverse datasets are necessary to do good #DataScience research! Data sharing could seriously accelerate innovations in vision research. #Ophthalmology #ophthotwitter

Should we be training neural networks differently? Cool things can happen when you work wtih experts from other fields. Recent paper by @caseyeye resident Adam Hanif and recent Northeastern U. PhD graduate Ilkay Yildiz. Michael F. Chiang, MD R.V. Paul Chan QTIM Lab ophthalmologyscience.org/article/S2666-…

Using limited data, we've trained generative adversarial networks (GANs) to synthesize medical images, which can be used to train convolutional neural networks (CNNs) that achieve expert-level performance for detection of rare diseases. 1/16 ophthalmologyscience.org/article/S2666-…

New npj Journals paper: relationships among #AI, #healthcare, quality, equity, bias, ethics, reimbursement. Uses case study of diabetic retinopathy. Led by Michael Abramoff (UIowa Eye) and including OCHIN Hogan Lovells IU School of Medicine Johns Hopkins Medicine nature.com/articles/s4174…

So true, a humble reminder for all of us in #informatics and #DataScience to continue working towards equitable healthcare access for EVERYONE #healthequity

Latest work from the lab: Jimmy Chen (new resident Shiley Eye Institute) and I review updates in #naturallanguageprocessing in #Ophthalmology ... check it out here journal.frontiersin.org/article/10.338…

Can #ophthalmologists distinguish between #AI and clinicians responses? Listen now: Edmund Tsui, MD, Jimmy Chen, & David Granet discuss the 2025 article, "Can #ChatGPT Think Like an Ophthalmologist." #Ophthalmology Journal podcast. ow.ly/3Biz50VxNKb

From 5000+ participants in the NIH AllofUsResearch: U-shaped relationship between HDL and AMD risk, such that both high and low HDL are significantly associated with increased AMD risk. Jimmy Chen Sally Baxter Jeff Esko AAO paper: brnw.ch/21wTSd7