Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40119-023-00347-0.pdf
Reference33 articles.
1. Shah NH, Entwistle D, Pfeffer MA. Creation and adoption of large language models in medicine. JAMA. 2023;330(9):866–9. https://doi.org/10.1001/jama.2023.14217.
2. Li R, Kumar A, Chen JH. How chatbots and large language model artificial intelligence systems will reshape modern medicine: fountain of creativity or Pandora’s box? JAMA Intern Med. 2023;183(6):596–7. https://doi.org/10.1001/jamainternmed.2023.1835.
3. Goodman RS, Patrinely JR Jr, Osterman T, Wheless L, Johnson DB. On the cusp: considering the impact of artificial intelligence language models in healthcare. Med. 2023;4(3):139–40. https://doi.org/10.1016/j.medj.2023.02.008.
4. Weiss BD. Health literacy: a manual for clinicians. Chicago: American Medical Association Foundation and American Medical Association; 2003.
5. National Institutes of Health. How to write easy to read health materials. 2021. http://www.nlm.nih.gov/medlineplus/etr.html. Accessed 1 Nov 2023.
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improving readability and comprehension levels of otolaryngology patient education materials using ChatGPT;American Journal of Otolaryngology;2024-11
2. Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study;International Journal of Medical Informatics;2024-10
3. Awareness and Attitudes of Chinese Medical Students Towards the Application of Large Language Models in Medicine: A Cross-Sectional Survey Study (Preprint);2024-09-11
4. Large language models and artificial intelligence chatbots in vascular surgery;Seminars in Vascular Surgery;2024-09
5. Large Language Models in Cardiology: A Systematic Review;2024-09-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3