BACKGROUND: The Magnetic Resonance Imaging (MRI) machine is a subset of nuclear magnetic resonance imaging technology that produces images of the body using magnetic field gradients. The MRI Machine has two components: the computer-based control centre room and the adjacent MRI machine room where the patient undergoes the scan.
OBJECTIVE: This study aimed to assess the quality and reliability of YouTube videos about MRI machines, MRI scans, and MRI claustrophobia and compare the quality and reliability of the videos among different types of uploaders.  Methodology: The YouTube Search Algorithm and a Google Sheets questionnaire were used to evaluate 10 videos that satisfied the inclusion criteria of the study. The video analytics included were title, number of views, likes and dislikes, comments, duration, source, and content. The quality of each video was established using the Global Quality Score (GQS), Reliability Score, and Video Power Index (VPI), where each quantifier went through statistical analysis using SPSS software, version 21.0 (IBM Corp., Armonk, NY) to determine if there was any significance.
RESULTS: In order to determine statistical differences between the groups, the Kruskal-Wallis test was used on the quantifiers GQS, reliability score, and VPI to generate p-values. The p-value for VPI is 0.467, GQS is 0.277, and reliability is 0.316. All the p-values are greater than 0.05, showing that there is no statistical support for any significant difference between the groups in their VPI, GQS and reliability scores.
CONCLUSIONS: YouTube videos with high-quality and reliable information on MRI machines, MRI procedures, and claustrophobia, especially those uploaded by clinicians and hospitals, can provide correct information, helping patients decide to undergo these procedures and alleviate claustrophobia.

BACKGROUND: The purpose of this study was to evaluate YouTube videos on meralgia paresthetica (MP) for reliability, quality, and differences between quality levels.
METHODS: We analyzed 59 videos related to MP. We evaluated several video characteristics, including views, likes, dislikes, duration, and speaker profile. We used view ratio, like ratio, Video Power Index (VPI), Global Quality Scale (GQS), JAMA criteria, and modified DISCERN (mDISCERN) to assess viewer engagement, popularity, educational quality, and reliability.
RESULTS: The videos received a total of 4,009,141 views (average 67,951.54), with 25.4% focused on exercise training and 23.7% focused on disease information. Mean scores were mDISCERN 2.4, GQS 2.8, and JAMA 2.1. Physician-led videos had higher mDISCERN scores, while allied health worker-led videos had more views, likes, dislikes, view ratios, and VPI. Poor and high-quality videos differed in views, likes, view ratio, VPI, and duration. Positive correlations existed among mDISCERN, JAMA, and GQS scores, with video duration positively correlated with GQS.
CONCLUSIONS: The content of YouTube videos discussing diseases significantly influences viewer engagement and popularity. To enhance the availability of valuable content on YouTube, which lacks a peer review process, medical professionals must contribute high-quality educational materials tailored to their target audience.

BACKGROUND: This study aims to assess the quality and reliability of the disease information available on YouTube (www.youtube.com) about \"heart attacks\" or myocardial infarctions, using a Global Quality Score (GQS) for quality, a DISCERN score for reliability, and a Video Power Index (VPI) for popularity.
METHODS: In this cross-sectional observational study, the YouTube videos were analyzed in terms of the type of uploader, content, and other factors. The GQS, DISCERN score, and Video Power Index (VPI) were utilized to assess the quality, reliability, and popularity of the information, respectively.
RESULTS: The majority of the videos (78.44%) were uploaded over a year ago. Only 33.34% and 7.84% were uploaded by doctors and healthcare organizations, respectively. Around 72.55% of the videos contained information about symptoms, 66.67% discussed the causes, 52.94% covered treatment, and 47.06% focused on prevention. Additionally, 41.18% provided details on investigations, while only 19.61% touched upon mortality. Patient-created videos accounted for 19.61% of the content, and 15.69% of the videos included promotional material.
CONCLUSIONS: The main outcome of our study indicates that the YouTube videos examined regarding myocardial infarctions exhibit high-quality content, as supported by a higher average GQS score. The consistent quality of information discovered in our study suggests that YouTube can serve as an additional platform for sharing knowledge and educating individuals about this important health condition. By raising awareness and delivering accurate information, these videos can help in early detection, prevention, and better outcomes for individuals who are at risk of experiencing a myocardial infarction.

BACKGROUND: YouTube is an important online source of information and has two billion users globally. Its viewing numbers tend to increase exponentially in extraordinary global situations. Our aim in this study was to review and evaluate the contents of the most frequently viewed YouTube videos during the Coronavirus disease 2019 (COVID-19) pandemic.  Methods: In this qualitative study, contents of the most frequently viewed Turkish and English YouTube videos regarding the COVID-19 pandemic were examined and scored with modified DISCERN, medical information and content index (MICI), and video power index (VPI) during April 2020.
RESULTS: The mean DISCERN score of Turkish videos was similar to that of English videos (2.55±1.40 and 2.43±1.25, respectively). The total MICI score tended to be higher in Turkish videos. News channels released 86.9% of all 168 videos and 65.2% of all 23 misleading videos. When the descriptive characteristics of videos were compared in terms of their content category, average view counts, view ratios, and VPIs of misleading videos were higher than those of the useful videos. Only, the likes ratio of useful videos was higher than that of the misleading videos.
CONCLUSIONS: Since there is no peer-review system on YouTube, people can almost release every type of video. It is very important for the content of videos that are released through news channels to be accurate because the important messages can be spread among people in society through them. In our study, especially some Turkish videos included many different rumors and faulty statements. During the extraordinary situations such as the pandemic, the videos of official health authorities and international institutions should be more visible on YouTube.

Introduction The objective of this study was to investigate quality and scientific accuracy of videos related to rotator cuff tear on YouTube. Methods Term of \"rotator cuff tear\" was entered to the searching bar of YouTube and the first 50 YouTube videos about rotator cuff tear with the highest view counts were recorded and evaluated by two orthopedists. Title of the videos that met the inclusion criteria were recorded. The videos were evaluated with DISCERN and JAMA scoring system, and Video Power Index. Results The mean DISCERN score was calculated as 35.7±8.9, and the mean JAMA score was found as 2.9±0.4. The mean DISCERN score was statistically significantly higher in the physician group compared to the non-physician group. There was a very strong and statistically significant correlation and an excellent compliance between both observers. Conclusion In general, quality of videos published on YouTube about rotator cuff tear was low.