Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866913647277637632 |
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| author | Kankanamge, Malithi Wanniarachchi Hasan, Syed Mhamudul Shahid, Abdur R. Yang, Ning |
| author_facet | Kankanamge, Malithi Wanniarachchi Hasan, Syed Mhamudul Shahid, Abdur R. Yang, Ning |
| contents | Cyber-physical systems have become an essential part of the modern healthcare industry. The healthcare cyber-physical systems (HCPS) combine physical and cyber components to improve the healthcare industry. While HCPS has many advantages, it also has some drawbacks, such as a lengthy data entry process, a lack of real-time processing, and limited real-time patient visualization. To overcome these issues, this paper represents an innovative approach to integrating large language model (LLM) to enhance the efficiency of the healthcare system. By incorporating LLM at various layers, HCPS can leverage advanced AI capabilities to improve patient outcomes, advance data processing, and enhance decision-making. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18407 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture Kankanamge, Malithi Wanniarachchi Hasan, Syed Mhamudul Shahid, Abdur R. Yang, Ning Machine Learning Computers and Society Cyber-physical systems have become an essential part of the modern healthcare industry. The healthcare cyber-physical systems (HCPS) combine physical and cyber components to improve the healthcare industry. While HCPS has many advantages, it also has some drawbacks, such as a lengthy data entry process, a lack of real-time processing, and limited real-time patient visualization. To overcome these issues, this paper represents an innovative approach to integrating large language model (LLM) to enhance the efficiency of the healthcare system. By incorporating LLM at various layers, HCPS can leverage advanced AI capabilities to improve patient outcomes, advance data processing, and enhance decision-making. |
| title | Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture |
| topic | Machine Learning Computers and Society |
| url | https://arxiv.org/abs/2407.18407 |