Skip To Main Content
Tae Keun on Muck Rack

Tae Keun

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile
Back to Tae Keun’s profile

Articles by Tae Keun

Application of ChatGPT-4 to oculomics: a cost-effective osteoporosis risk assessment to enhance management as a proof-of-principles model in 3PM - EPMA Journal

|
By Joon Yul, Tae Keun
| link.springer.com
Abstract Oculomics is an emerging medical field that focuses on the study of the eye to detect and understand systemic diseases. ChatGPT-4 is a highly advanced AI model with multimodal capabilities, allowing it to process text and statistical data. Osteoporosis is a chronic condition presenting asymptomatically but leading to fractures if untreated. Current diagnostic methods like dual X-ray absorptiometry (DXA) are costly and involve radiation exposure.
Open in Who Shared Issue with article?

Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images - Eye

|
By Tae Keun, Ik Hee, Jin Kuk, In Sik
| Nature Verified
References 1. Rim TH, Kim S-H, Lim KH, Choi M, Kim HY, Baek S-H, Epidemiologic Survey Committee of the Korean Ophthalmological Society. Refractive errors in Koreans: The Korea National Health and Nutrition Examination Survey 2008-2012. Korean J Ophthalmol. 2016;30:214–24. Article Google Scholar 2. Hashemi H, Fotouhi A, Yekta A, Pakzad R, Ostadimoghaddam H, Khabazkhoob M. Global and regional estimates of prevalence of refractive errors: systematic review and meta-analysis. J Curr Ophthalmol. 2018;30:3–22.
Open in Who Shared Issue with article?
Show More