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 beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2020-10-01
Serie:The Lancet: Digital Health
Länkar:http://www.sciencedirect.com/science/article/pii/S2589750020302168
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk