Artificial intelligence: Augmenting telehealth with large language models

No Thumbnail Available
File version
Author(s)
Snoswell, Centaine L
Snoswell, Aaron J
Kelly, Jaimon T
Caffery, Liam J
Smith, Anthony C
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2023
Size
File type(s)
Location
License
Abstract

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.

Journal Title

Journal of Telemedicine and Telecare

Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note

This publication has been entered in Griffith Research Online as an advanced online version.

Access the data
Related item(s)
Subject

Health services and systems

Public health

Science & Technology

Life Sciences & Biomedicine

Health Care Sciences & Services

Machine learning

large language models

Persistent link to this record
Citation

Snoswell, CL; Snoswell, AJ; Kelly, JT; Caffery, LJ; Smith, AC, Artificial intelligence: Augmenting telehealth with large language models, Journal of Telemedicine and Telecare, 2023

Collections