# Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-chatgpt-to-evaluate-cancer-myths-and-misconceptions-artificial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Skyler B. Johnson,Andy J. King,Echo L. Warner,Sanjay Aneja,Benjamin H. Kann,Carma L. Bylund |
| Citations | 298 |
| DOI | 10.1093/jncics/pkad015 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://academic.oup.com/jncics/article-pdf/7/2/pkad015/49535391/pkad015.pdf |
| OpenAlex ID | https://openalex.org/W4327681325 |
| PMID | 36929393 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Echo L. Warner](https://scholariq.org/researchers/echo-l-warner/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [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.