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

TL;DR

This paper explores the integration of large language models into healthcare robots, highlighting system requirements, ethical considerations, and future research directions to enhance clinical applications and address healthcare demands.

Contribution

It provides a systematic analysis of how LLMs can be integrated into healthcare robotics, identifying key system requirements and discussing ethical and open challenges.

Findings

Identified system requirements for LLM-based healthcare robots.

Discussed ethical issues and open challenges in integration.

Outlined future research directions for clinical applications.

Abstract

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.