# Using ChatGPT to Improve Readability of Interventional Radiology Procedure Descriptions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-chatgpt-to-improve-readability-of-interventional-radiology-procedure/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hossam A. Zaki,Michelle Mai,Hazem Abdel-Megid,Sabrina Q. R. Liew,Simon Kidanemariam,Abdifatah Omar,Urvi Tiwari,Jad Hamze,Sun Ho Ahn,Aaron Maxwell |
| Citations | 22 |
| DOI | 10.1007/s00270-024-03803-z |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4400450490 |
| PMID | 38981939 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Michelle Mai](https://scholariq.org/researchers/michelle-mai/)

## Paper journal

- [CardioVascular and Interventional Radiology](https://scholariq.org/journals/cardiovascular-and-interventional-radiology/)

## 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/)
- [Text Readability and Simplification](https://scholariq.org/topics/text-readability-and-simplification/)
- [Health Literacy and Information Accessibility](https://scholariq.org/topics/health-literacy-and-information-accessibility/)

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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.