The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare

被引:2
作者
Pashangpour, Souren [1 ]
Nejat, Goldie [1 ,2 ,3 ]
机构
[1] Univ Toronto, Dept Mech & Ind Engn, Autonomous Syst & Biomechatron Lab ASBLab, Toronto, ON M5S 3G8, Canada
[2] Univ Hlth Newtork UHN, Toronto Rehabil Inst, KITE, Toronto, ON M5G 2A2, Canada
[3] Rotman Res Inst, Baycrest Hlth Sci, N York, ON M6A 2E1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
large language models; healthcare robotics; multi-modal communication; semantic reasoning; task planning; ALGORITHM;
D O I
10.3390/robotics13080112
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging demographic and a shortage of healthcare professionals. Even though LLMs have already been integrated into medicine to assist both clinicians and patients, the integration of LLMs within healthcare robots has not yet been explored for clinical settings. In this perspective paper, we investigate the groundbreaking developments in robotics and LLMs to uniquely identify the needed system requirements for designing health-specific LLM-based robots in terms of multi-modal communication through human-robot interactions (HRIs), semantic reasoning, and task planning. Furthermore, we discuss the ethical issues, open challenges, and potential future research directions for this emerging innovative field.
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收藏
页数:43
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