May 3, 2024, 4:14 a.m. | Dou Liu, Ying Han, Xiandi Wang, Xiaomei Tan, Di Liu, Guangwu Qian, Kang Li, Dan Pu, Rong Yin

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.00728v1 Announce Type: new
Abstract: The integration of Artificial Intelligence (AI) in healthcare presents a transformative potential for enhancing operational efficiency and health outcomes. Large Language Models (LLMs), such as ChatGPT, have shown their capabilities in supporting medical decision-making. Embedding LLMs in medical systems is becoming a promising trend in healthcare development. The potential of ChatGPT to address the triage problem in emergency departments has been examined, while few studies have explored its application in outpatient departments. With a focus …

abstract application artificial artificial intelligence arxiv capabilities chatgpt comparative study cs.ai cs.cl cs.hc decision efficiency embedding guidance health healthcare integration intelligence language language models large language large language models llms making medical study systems type

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