Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms

Summary: Background: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for predicting other systemic biomarkers and...

Full description

Saved in:
Bibliographic Details
Main Authors: Tyler Hyungtaek Rim, MD, Geunyoung Lee, BS, Youngnam Kim, MSc, Yih-Chung Tham, PhD, Chan Joo Lee, MD, Su Jung Baik, MD, Young Ah Kim, PhD, Marco Yu, PhD, Mihir Deshmukh, MSc, Byoung Kwon Lee, ProfMD, Sungha Park, ProfMD, Hyeon Chang Kim, ProfMD, Charumathi Sabayanagam, PhD, Daniel S W Ting, MD, Ya Xing Wang, MD, Jost B Jonas, ProfMD, Sung Soo Kim, MD, Tien Yin Wong, ProfMD, Ching-Yu Cheng, ProfMD
Format: Artigo
Language:Inglês
Published: Elsevier 2020-10-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750020302168
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items