Digital technology and COVID-19

Daniel Shu Wei Ting¹, Lawrence Carin², Victor Dzau^{2

3}, Tien Y Wong⁴

Affiliations

¹ Singapore Health Service (SingHealth), Duke-NUS Medical School, Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
² Duke University, Durham, NC, USA.
³ US National Academy of Medicine, Washington, DC, USA.
⁴ Singapore Health Service (SingHealth), Duke-NUS Medical School, Singapore, Singapore.

Daniel Shu Wei Ting et al. Nat Med. 2020 Apr.

. 2020 Apr;26(4):459-461.

doi: 10.1038/s41591-020-0824-5.

Daniel Shu Wei Ting¹, Lawrence Carin², Victor Dzau^{2

3}, Tien Y Wong⁴

¹ Singapore Health Service (SingHealth), Duke-NUS Medical School, Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
² Duke University, Durham, NC, USA.
³ US National Academy of Medicine, Washington, DC, USA.
⁴ Singapore Health Service (SingHealth), Duke-NUS Medical School, Singapore, Singapore.

Abstract

The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.

D.S.W.T. and T.Y.W. hold a patent on a deep learning system for the detection of retinal diseases.

Telemedicine and e-Health Solutions for COVID-19: Patients' Perspective.
Pappot N, Taarnhøj GA, Pappot H. Pappot N, et al. Telemed J E Health. 2020 Jul;26(7):847-849. doi: 10.1089/tmj.2020.0099. Epub 2020 Apr 24. Telemed J E Health. 2020. PMID: 32329654 No abstract available.

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