Artificial intelligence: Augmenting telehealth with large language models

被引：18

作者：

Snoswell, Centaine L. ^{[1
,2
,5
,6
]}

Snoswell, Aaron J. ^{[4
]}

Kelly, Jaimon T. ^{[1
,2
]}

Caffery, Liam J. ^{[1
,2
]}

Smith, Anthony C. ^{[1
,2
,3
]}

机构：

[1] Univ Queensland, Ctr Online Hlth, Brisbane, Australia

[2] Univ Queensland, Ctr Hlth Serv Res, Brisbane, Australia

[3] Univ Southern Denmark, Ctr Innovat Med Technol, Odense, Denmark

[4] Queensland Univ Technol, Australian Res Council Ctr Excellence Automated De, Brisbane, Australia

[5] Univ Queensland, Ctr Online Hlth, Ctr Hlth Serv Res, Brisbane, Australia

[6] Princess Alexandra Hosp, Ctr Online Hlth, Ground Floor Bldg 33, Woolloongabba, Qld 4102, Australia

来源：

JOURNAL OF TELEMEDICINE AND TELECARE | 2025年 / 31卷 / 01期

基金：

芬兰科学院; 澳大利亚研究理事会;

关键词：

Machine learning; large language models; ChatGPT; telehealth; telemedicine; digital health; artificial intelligence;

D O I：

10.1177/1357633X231169055

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：

This brief editorial describes an emerging area of machine learning technology called large language models (LLMs). LLMs, such as ChatGPT, are the technological disruptor of this decade. They are going to be integrated into search engines (Bing and Google) and into Microsoft products in the coming months. They will therefore fundamentally change the way patients and clinicians access and receive information. It is essential that telehealth clinicians are aware of LLMs and appreciate their capabilities and limitations.

引用

页码：150 / 154

页数：5

共 50 条

[21] Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging
Kim, Kiduk
Hong, Gil-Sun
Kim, Namkug
JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY, 2024, 85 (05): : 848 - 860
[22] The Artificial intelligence large language models and neuropsychiatry practice and research ethic
Zhong, Yi
Chen, Yu-jun
Zhou, Yang
Lyu, Yan-Ao-Hai
Yin, Jia-Jun
Gao, Yu-jun
ASIAN JOURNAL OF PSYCHIATRY, 2023, 84
[23] Commonsense Reasoning and Explainable Artificial Intelligence Using Large Language Models
Krause, Stefanie
Stolzenburg, Frieder
ARTIFICIAL INTELLIGENCE-ECAI 2023 INTERNATIONAL WORKSHOPS, PT 1, XAI3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023, 2024, 1947 : 302 - 319
[24] How large language models and artificial intelligence are transforming civil engineering
Dudhee, Vishak
Vukovic, Vladimir
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-CIVIL ENGINEERING, 2023, 176 (04) : 150 - 150
[25] Applications of Artificial Intelligence and Large Language Models to Plastic Surgery Research
Seth, Ishith
Bulloch, Gabriella
Rozen, Warren M.
AESTHETIC SURGERY JOURNAL, 2023, 43 (10) : NP809 - NP810
[26] Augmenting interpretable models with large language models during training
Chandan Singh
Armin Askari
Rich Caruana
Jianfeng Gao
Nature Communications, 14
[27] Augmenting interpretable models with large language models during training
Singh, Chandan
Askari, Armin
Caruana, Rich
Gao, Jianfeng
NATURE COMMUNICATIONS, 2023, 14 (01)
[28] Artificial Intelligence: The Security of Language Models
Krome, Susanne
DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2025, 150 (03) : 71 - 71
[29] Revolutionizing patient safety with artificial intelligence: the potential of natural language processing and large language models
Klang, Eyal
Garcia-Elorrio, Ezequiel
Zimlichman, Eyal
INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2023, 35 (03)
[30] Clinical Science and Practice in the Age of Large Language Models and Generative Artificial Intelligence
Schueller, Stephen M.
Morris, Robert R.
JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 2023, 91 (10) : 559 - 561

← 1 2 3 4 5 →