# Opportunities and challenges for ChatGPT and large language models in biomedicine and health

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/opportunities-and-challenges-for-chatgpt-and-large-language-models-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shubo Tian,Qiao Jin,Lana Yeganova,Po‐Ting Lai,Qingqing Zhu,Xiuying Chen,Yifan Yang,Qingyu Chen,Won Bae Kim,Donald C. Comeau,Rezarta Islamaj,Aadit Kapoor,Xin Gao,Zhiyong Lu |
| Citations | 361 |
| DOI | 10.1093/bib/bbad493 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://academic.oup.com/bib/article-pdf/25/1/bbad493/54942208/bbad493.pdf |
| OpenAlex ID | https://openalex.org/W4381587418 |
| PMID | 37904734 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Won Bae Kim](https://scholariq.org/researchers/won-bae-kim/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.