Kidney Stone Surgery: Assessing Public Interest and Evaluating Social Media Content-Reference-Cited by-同舟云学术

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Kidney Stone Surgery: Assessing Public Interest and Evaluating Social Media Content

Published:2022-07-01 Issue:7 Volume:36 Page:954-960
ISSN:0892-7790
Container-title:Journal of Endourology
language:en
Short-container-title:Journal of Endourology

Author:

Diaz Parris¹²^ORCID,Takele Rebecca A.³,Thaker Sapna⁴,Thaker Karan N.⁴,Ballon Jorge¹²,Lucas Mayra¹^ORCID,Kunitsky Kevin¹,Scotland Kymora B.⁴^ORCID

Affiliation:

1. David Geffen School of Medicine at UCLA, Los Angeles, California, USA.

2. Charles R. Drew University of Medicine and Science, Los Angeles, California, USA.

3. Edward Via College of Osteopathic Medicine-Virginia, Blacksburg, Virginia, USA.

4. Department of Urology, University of California, Los Angeles, Los Angeles, California, USA.

Publisher

Mary Ann Liebert Inc

Subject

Urology

Link

https://www.liebertpub.com/doi/pdf/10.1089/end.2021.0902

Reference17 articles.

1. Prevalence of Kidney Stones in the United States

2. Kidney stones

3. Trends and inequalities in the surgical management of ureteric calculi in the USA

4. Public use of electronic personal health information: Measuring progress of the Healthy People 2020 objectives

5. Internet Search Trends Analysis Tools Can Provide Real-time Data on Kidney Stone Disease in the United States

Cited by 12 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. Quality of Information About Kidney Stones from Artificial Intelligence Chatbots;Journal of Endourology;2024-07-29

2. Appraisal of Spanish-Language Google Search Patient Education Resources for Kidney Stones: A Review (Preprint);2024-06-24

3. An Investigation of AI Techniques for Detecting Kidney Stones in CT Scan Images Through Advanced Image Processing;Advances in Medical Technologies and Clinical Practice;2024-04-15

4. Telemedicine and social media: A contemporary analysis of the most shared content by internet users;Archivio Italiano di Urologia e Andrologia;2024-04-03

5. Accuracy and Readability of Kidney Stone Patient Information Materials Generated by a Large Language Model Compared to Official Urologic Organizations;Urology;2024-04

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