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牙科领域的人工智能:评估YouTube视频的信息质量。

Artificial intelligence in dentistry: Assessing the informational quality of YouTube videos.

作者信息

Naik Sachin, Al-Kheraif Abdulaziz Abdullah, Vellappally Sajith

机构信息

Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.

出版信息

PLoS One. 2025 Jan 2;20(1):e0316635. doi: 10.1371/journal.pone.0316635. eCollection 2025.

DOI:10.1371/journal.pone.0316635
PMID:39746083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11695022/
Abstract

BACKGROUND AND PURPOSE

The most widely used social media platform for video content is YouTubeTM. The present study evaluated the quality of information on YouTubeTM on artificial intelligence (AI) in dentistry.

METHODS

This cross-sectional study used YouTubeTM (https://www.youtube.com) for searching videos. The terms used for the search were "artificial intelligence in dentistry," "machine learning in dental care," and "deep learning in dentistry." The accuracy and reliability of the information source were assessed using the DISCERN score. The quality of the videos was evaluated using the modified Global Quality Score (mGQS) and the Journal of the American Medical Association (JAMA) score.

RESULTS

The analysis of 91 YouTube™ videos on AI in dentistry revealed insights into video characteristics, content, and quality. On average, videos were 22.45 minutes and received 1715.58 views and 23.79 likes. The topics were mainly centered on general dentistry (66%), with radiology (18%), orthodontics (9%), prosthodontics (4%), and implants (3%). DISCERN and mGQS scores were higher for videos uploaded by healthcare professionals and educational content videos(P<0.05). DISCERN exhibited a strong correlation (0.75) with the video source and with JAMA (0.77). The correlation of the video's content and mGQS, was 0.66 indicated moderate correlation.

CONCLUSION

YouTube™ has informative and moderately reliable videos on AI in dentistry. Dental students, dentists and patients can use these videos to learn and educate about artificial intelligence in dentistry. Professionals should upload more videos to enhance the reliability of the content.

摘要

背景与目的

用于视频内容的最广泛使用的社交媒体平台是YouTube™。本研究评估了YouTube™上有关牙科人工智能(AI)的信息质量。

方法

这项横断面研究使用YouTube™(https://www.youtube.com)搜索视频。搜索使用的术语为“牙科中的人工智能”、“牙科护理中的机器学习”和“牙科中的深度学习”。使用DISCERN评分评估信息来源的准确性和可靠性。使用改良的全球质量评分(mGQS)和美国医学协会杂志(JAMA)评分评估视频质量。

结果

对91个关于牙科人工智能的YouTube™视频的分析揭示了视频特征、内容和质量方面的见解。视频平均时长为22.45分钟,获得1715.58次观看和23.79个赞。主题主要集中在普通牙科(66%),其次是放射学(18%)、正畸学(9%)、修复学(4%)和种植牙(3%)。医疗保健专业人员上传的视频和教育内容视频的DISCERN和mGQS评分更高(P<0.05)。DISCERN与视频来源和JAMA的相关性很强(0.75)。视频内容与mGQS的相关性为0.66,表明为中度相关。

结论

YouTube™有关于牙科人工智能的信息丰富且可靠性适中的视频。牙科学生、牙医和患者可以使用这些视频来学习和了解牙科人工智能。专业人员应上传更多视频以提高内容的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/407a8b3a771a/pone.0316635.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/9e7fc088142e/pone.0316635.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/b0189c8ccc13/pone.0316635.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/407a8b3a771a/pone.0316635.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/9e7fc088142e/pone.0316635.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/b0189c8ccc13/pone.0316635.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/11695022/407a8b3a771a/pone.0316635.g003.jpg

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