Deep learning for precision medicine: Guiding laser therapy in ischemic retinal diseases

Ting Fang Tan; Shelley Yin-His Chang; Daniel Shu Wei Ting

doi:10.1016/j.xcrm.2023.101239

Deep learning for precision medicine: Guiding laser therapy in ischemic retinal diseases

Cell Rep Med. 2023 Oct 17;4(10):101239. doi: 10.1016/j.xcrm.2023.101239.

Authors

Ting Fang Tan¹, Shelley Yin-His Chang², Daniel Shu Wei Ting³

Affiliations

¹ Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore.
² Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
³ Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore; Byers Eye Institute, Stanford University, Palo Alto, CA, USA. Electronic address: daniel.ting@duke-nus.edu.sg.

Abstract

In this issue of Cell Reports Medicine, Zhao and colleagues¹ report a multi-tasking artificial intelligence system that can assist the whole process of fundus fluorescein angiography (FFA) imaging and reduce the reliance on retinal specialists in FFA examination.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Artificial Intelligence
Deep Learning*
Fundus Oculi
Humans
Laser Therapy*
Precision Medicine
Retinal Diseases* / diagnostic imaging
Retinal Diseases* / therapy
Retinal Vessels