The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
GTA1: GUI Test-time Scaling Agent
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
FlySearch: Exploring how vision-language models explore
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
토론
이 논문과 연결된 포럼 글이 아직 없습니다.