Invited Commentary on using ChatGPT to Improve Readability of Interventional Radiology Procedure Descriptions
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00270-024-03855-1.pdf
Reference5 articles.
1. Zaki HA, Mai M, Abdel-Megid H, et al. Using ChatGPT to improve readability of interventional radiology procedure descriptions. Cardiovasc Intervent Radiol. 2024;47:1134–41. https://doi.org/10.1007/s00270-024-03803-z.
2. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K. Low health literacy and health outcomes: an updated systematic review. Ann Intern Med. 2011;155(2):97–107. https://doi.org/10.7326/0003-4819-155-2-201107190-00005.
3. Charnock D, Shepperd S. Learning to DISCERN online: applying an appraisal tool to health websites in a workshop setting. Health Educ Res. 2004;19:440–6.
4. Sasaki F, Tatekawa H, Mitsuyama Y, Kageyama K, Jogo A, Yamamoto A, Miki Y, Ueda D. Bridging language and stylistic barriers in IR standardized reporting: enhancing translation and structure using ChatGPT-4. J Vasc Interv Radiol. 2024;35(3):472-475.e1. https://doi.org/10.1016/j.jvir.2023.11.014.
5. Rahmani G, O’Sullivan GJ. Revisiting the readability of online patient information in interventional radiology. Cardiovasc Intervent Radiol. 2023;46(6):809–10. https://doi.org/10.1007/s00270-023-03423-z.
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