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The International Journal of the Royal Society of Thailand
Volume XI - 2019

Digital Health and Precision Medicine

Chidchanok Lursinsap 1
Somchai Bovornkitti 1

Abstract
Digital health is a contemporary term that is used in attempts to encom-
pass the terms eHealth, mHealth, and telehealth in taxonomy. In this context,
digital health depends heavily upon the development of artificial intelligence

(AI) technology. There are many challenging problems that need smart solu-
tions, such as self-learning for streaming data, and collaborative AI among
machines and human, AI planning. People involved in some aspects of digital
health and precision medicine must prepare themselves to face this new era of
AI technology.

Keywords: artificial intelligence; digital health; precision medicine

Digital health (https://en.wikipedia.org/wiki/Digital_health) is the
convergence of digital technologies with health to enhance the efficacy of health-
care delivery and to make medicine more precise (Senanarong et al., 2018). In the

near future, digital technology will change the way physicians deliver care.
The questions are: how much can it do and when? In essence, artificial intelligence
takes the principle role in digital technology to reshape the perspectives of
medicine for improving human clinical capabilities in drug discovery,
epidemiology, precision medicine, operational efficiency and diagnosis (Hussain
et al., 2019).

Regarding “artificial intelligence”, the word signifies the ability to solve
certain complex problems in a way that the human brain could not do but the
machine can, where multiple interfaces are utilized to create a “smart” system.
The principal aim is to develop and to deploy safe, effective AI applications into
practice for safe data-driven technology in health and care, such as the expertise

1 The Academy of Science, The Royal Society of Thailand, Bangkok

Chidchanok Lursinsap
Somchai Bovornkitti 5

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