Aaron Coyner
@aaron_coyner
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|| Data Scientist @CaseyEye @OHSUNews || AI + ophthalmology || opinions are mine ||
45.4989° N, 122.6877° W
Joined June 2017
Thank you for helping to bring to light our work on this important issue, @EricTopol. @praveersingh90 @SusanOstmo @rvpchan @NEIDirector @kalpathy1 @jpetercampbell @CaseyEye @OHSUNews
"The key contribution of this study is the demonstration that #AI algorithms can still detect features to identify self-reported race from images beyond what human are able to identify" and the potential for racial bias https://t.co/r52tyrpWEk
https://t.co/FhTTzV9fWr
@JAMAOphth
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Using an ultra-widefield OCT device developed at @OHSUNews, researchers found that "isolated retinal neovascularization" is an independent risk factor for retinopathy of prematurity disease progression. Published in Ophthalmology Retina @AAOjournal
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Ready for #ARVO2024? @NatEyeInstitute will have a big presence there! Meet program officers, see presentations from our intramural research program, and get the latest updates. @ARVOinfo Here’s a summary: https://t.co/dcyfqkUk4u
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#AI can detect ROP globally: over 80% sensitivity & specificity for mtmROP and 100% sensitivity for type 1 (treatment-requiring) ROP. #NEIfunded @CaseyEye @jpetercampbell @aaron_coyner @BenjaminKYoung @SusanOstmo @rvpchan @kalpathy1 @OHSUNews
@JAMAOphth: https://t.co/yO2RCEKePH
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Really cool to see how far this concept has come...
jamanetwork.com
This diagnostic study evaluates how well autonomous artificial intelligence–based retinopathy of prematurity screening can detect more-than-mild and type 1 retinopathy of prematurity.
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New research from @OHSUNews & collaborators shows that AI can accurately & independently detect 100% of severe cases of a blindness-causing condition that affects prematurely born babies. @jpetercampbell @NEIDirector @BenjaminKYoung @SusanOstmo @rvpchan
news.ohsu.edu
The technology could expand global treatment for retinopathy of prematurity before condition can permanently damage vision.
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New study from @CaseyEye: it is very difficult to remove race-related information from #AI algorithms evaluating fundus photos. @JAMAOphth: https://t.co/ZtyrMntmPt
#NEIfunded @aaron_coyner @praveersingh90 @SusanOstmo @rvpchan @kalpathy1 @jpetercampbell
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"The key contribution of this study is the demonstration that #AI algorithms can still detect features to identify self-reported race from images beyond what human are able to identify" and the potential for racial bias https://t.co/r52tyrpWEk
https://t.co/FhTTzV9fWr
@JAMAOphth
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"The key contribution of this study is the demonstration that #AI algorithms can still detect features to identify self-reported race from images beyond what human are able to identify" and the potential for racial bias https://t.co/r52tyrpWEk
https://t.co/FhTTzV9fWr
@JAMAOphth
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Kudos to @OHSUInformatics alum @aaron_coyner for being a finalist for @AMIAinformatics Doctoral Dissertation Award at #AMIA2022
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Congratulations... To @aaron_coyner (@OHSUinformatics @CaseyEye, also mentored by @jpetercampbell @kalpathy1) for being a finalist in the #AMIA2022 Doctoral Dissertation Award! To George Hripcsak, my former Chair in informatics (@ColumbiaDBMI), for the Morris F. Collen Award...
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A new biomarker for #ROP severity using #OCT technology - our latest paper is out in @JAMAOphth! Thank you for a fantastic research year @jian_yifan @jpetercampbell @aaron_coyner @SusanOstmo @NEIDirector @YaliJiaOCT @CaseyEye
jamanetwork.com
This cross-sectional study evaluates the association between the clinical diagnosis of retinopathy of prematurity and optical coherence tomography–measured fibrovascular ridge thickness.
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Congratulations to the @AMIAinformatics Dissertation winners. It is always fun to see what the future of #biomedicalinformatics holds for us. https://t.co/MZCQoSSZmG
@Zongwei_Zhou @elliotgmitchell @histalk @Tiff_callahan @aaron_coyner @jerryji1993 Matthew Lenert @vumcdbmi
amia.org
Formerly the AMIA Doctoral
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Congratulations to @aaron_coyner and @Tiff_callahan for being named @AMIAinformatics Doctoral Dissertation Award finalists! Aaron was one of the last PhD students I advised @OHSUInformatics, and I worked with Tiffany on the JAMIA Student Editorial Board. https://t.co/S5PUAn1z3Y
amia.org
Formerly the AMIA Doctoral
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Honored to accept the award for "Best Paper" at the World ROP Congress on behalf of @aaron_coyner @CaseyEye and the @AravindEye for https://t.co/t2pLeAKlqX thankful to work with such a dedicated team focused on eliminating ROP blindness worldwide.
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Researchers found that a technique called federated learning is a potentially useful tool for studying diagnostic patterns & disease epidemiology between hospitals over time. https://t.co/Oaa2PUOWRD
@aaron_coyner @NEIDirector @SusanOstmo @rvpchan @jpetercampbell
pubmed.ncbi.nlm.nih.gov
A DL-derived ROP VSS developed without sharing data between institutions using FL identified differences in the clinical diagnoses of plus disease and overall levels of ROP severity between institu...
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👀 Sneak a peek at the deepest & sharpest infrared image of the early universe ever taken — all in a day’s work for the Webb telescope. (Literally, capturing it took less than a day!) This is Webb’s first image released as we begin to #UnfoldTheUniverse: https://t.co/tlougFWg8B
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Study found integrating AI-based image analysis with clinical risk factors could reduce the number of exams in a LMIC ROP screening population by roughly half, and identify cases at highest risk of progression weeks in advance of diagnosis.
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#AI for detecting the vascular changes associated with #ROP shown to be effective in low- & middle-income countries and with different imaging systems. @rvpchan @kalpathy1 @NEIDirector @jpetercampbell @aaron_coyner @praveersingh90 @CaseyEye @uicovs
https://t.co/zSIe5atr1F
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