How Can Artificial Intelligence Make Medicine More Preemptive?

被引：10

作者：

Iqbal, Usman ^{[1
,2
,3
]}

Celi, Leo Anthony ^{[4
,5
,6
]}

Li, Yu-Chuan Jack ^{[3
,7
,8
,9
]}

机构：

[1] Taipei Med Univ, Coll Publ Hlth, Global Hlth & Dev, Taipei, Taiwan

[2] Taipei Med Univ, Coll Publ Hlth, Global Hlth & Hlth Secur, Taipei, Taiwan

[3] Taipei Med Univ, Int Ctr Hlth Informat Technol, Taipei, Taiwan

[4] MIT, Lab Computat Physiol, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[5] Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Boston, MA 02215 USA

[6] Harvard Univ, Dept Biostat, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA

[7] Taipei Med Univ, Coll Med Sci & Technol, Grad Inst Biomed Informat, 172-1,Sec 2,Keelung Rd, Taipei 10675, Taiwan

[8] Taipei Municipal Wan Fang Hosp, Dept Dermatol, Taipei, Taiwan

[9] Int Med Informat Assoc, Geneva, Switzerland

来源：

JOURNAL OF MEDICAL INTERNET RESEARCH | 2020年 / 22卷 / 08期

基金：

美国国家卫生研究院;

关键词：

artificial intelligence; digital health; eHealth; health care technology; medical innovations; health information technology; advanced care systems;

D O I：

10.2196/17211

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of "Earlier Medicine," which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential-from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in "Earlier Medicine" implementation.

引用

页数：4

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