A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer

被引：7

作者：

Miao, Hongyu ^{[1
]}

Li, Chengdong ^{[1
]}

Wang, Jing ^{[1
,2
]}

机构：

[1] Florida State Univ, Coll Nursing, Tallahassee, FL USA

[2] Florida State Univ, Coll Nursing, 98 Varsity Way, Tallahassee, FL 32306 USA

来源：

JOURNAL OF MEDICAL INTERNET RESEARCH | 2023年 / 25卷

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

generative pretrained model; artificial intelligence; digital health; generative pretrained transformer; ChatGPT; precision medicine; AI; privacy; ethics;

D O I：

10.2196/49963

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：

Generative pretrained transformer (GPT) tools have been thriving, as ignited by the remarkable success of OpenAI's recent chatbot product. GPT technology offers countless opportunities to significantly improve or renovate current health care research and practice paradigms, especially digital health interventions and digital health-enabled clinical care, and a future of smarter digital health can thus be expected. In particular, GPT technology can be incorporated through various digital health platforms in homes and hospitals embedded with numerous sensors, wearables, and remote monitoring devices. In this viewpoint paper, we highlight recent research progress that depicts the future picture of a smarter digital health ecosystem through GPT-facilitated centralized communications, automated analytics, personalized health care, and instant decision-making.

引用

页数：5

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