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  1. 1721
    “…Examples are discussed briefly, such as PubMed/MEDLINE, Virtual Health Library, NICE, Cochrane Library, Cochrane Work, Google (Scholar), and YouTube. CONCLUSIONS: Evidence-based practice in OSH must be stimulated, relying mainly on trusted online sources. …”
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    Where to Find Evidence-Based Information on Occupational Safety and Health?
  2. 1722
    “…Novel resources included Twitter, video streaming platforms (e.g., YouTube), online blogs, podcasts, and Wikipedia. KEY RESULTS: We had 662 respondents from 55 residency programs across 26 states. …”
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    A Nationwide Survey of Educational Resource Utilization and Perception Among Internal Medicine Residents
  3. 1723
    “…Results showed that social media was indeed a major outlet for individuals to access information on food safety, with the top-ranked social media platforms being WhatsApp (M = 2.99) followed by Snapchat (M = 3.72), YouTube (M = 4.08), Instagram (M = 4.46), and Facebook (M = 4.81). …”
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    Use of social media in food safety in Saudi Arabia—a preliminary study
  4. 1724
    “…Production is shown at www.youtube.com/watch?v=WGQgephMEwA. OUTCOMES: Feasibility, safety , and cost. …”
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    The Production, Efficacy, and Safety of Machine-Generated Bicarbonate Solution for Continuous Venovenous Hemodialysis (CVVHD): The Cleveland Clinic Method
  5. 1725
    “…Innovative opportunities were suggested, including translated digital health advice using text templates and YouTube; these merit further exploration. CONCLUSION: Pandemic-related changes to primary care delivery may become permanent; some migrant groups are at risk of digital exclusion and may need targeted additional support to access services. …”
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    Impact of COVID-19 on migrants’ access to primary care and implications for vaccine roll-out: a national qualitative study
  6. 1726
    por Coelho, Joseph R.
    Publicado 2021
    “…SIMPLE SUMMARY: Music videos were examined on YouTube for insect content. The types of insects shown, the year of issue, and themes were recorded. …”
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    Sex, Bugs and Rock ‘n’ Roll: Insects in Music Videos
  7. 1727
    “…Regarding deepfake detection in videos, the Celeb-DFv1 dataset was used, featuring 590 original videos collected from YouTube, and covering different subjects. The results obtained with the 5-fold cross-validation outperformed those SVM-based methods documented in the literature, by achieving an average F1-score of [Formula: see text] , [Formula: see text] , and [Formula: see text] , respectively for photos, videos, and a mixture of both types of content. …”
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    Exposing Manipulated Photos and Videos in Digital Forensics Analysis
  8. 1728
    “…Methods: 900 websites from Google, Bing, Yahoo, and 150 YouTube videos were assessed. Results: The websites did not differ regarding their search rank or between the search engines. …”
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    Accuracy and Reliability of Internet Resources for Information on Monoclonal Gammopathy of Undetermined Significance—What Information Is out There for Our Patients?
  9. 1729
    “…The most used social media platforms were WhatsApp (91.5%), YouTube (84.6%), and Twitter (82.6%), respectively. …”
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    The Use of Internet and Social Media for Health Information and Its Consequences Among the Population in Saudi Arabia
  10. 1730
    por Shah, Dhaivat
    Publicado 2022
    “…VIDEO LINK: https://youtu.be/hBhfLDy9o-Y…”
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    Achoo - God bless you!
  11. 1731
    “…VIDEO LINK: https://youtu.be/zbdpP0lhykw…”
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    Technique of using Cionni capsular tension ring in the management of of ectopia lentis cases
  12. 1732
    por Bhat, Parvez Ahmad, Unnisa, Arsalan
    Publicado 2022
    “…VIDEO LINK: https://youtu.be/9_dh6qsd-7A…”
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    Modified scleral band buckle placement technique
  13. 1733
    “…The validity of the machine learning models was assessed using the area under the curve, precision-recall curve, root mean square error, and kappa statistics to confirm the validity and accuracy of the model. The data quality of YouTube videos was found to have the highest accuracy followed by Facebook, Flickr, Twitter, and Instagram. …”
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    Utilization of social media in floods assessment using data mining techniques
  14. 1734
    “…METHODS: Between July 2019 and October 2019, viewers of CLV and non-viewers were recruited from Facebook and YouTube. We conducted an online longitudinal cohort study that assessed changes in health knowledge, attitudes, and norms (KAN) between these groups. …”
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    Measuring impact of storyline engagement on health knowledge, attitudes, and norms: A digital evaluation of an online health-focused serial drama in West Africa
  15. 1735
    “…Second, we recorded common marmosets in a variety of contexts (e.g. grooming, feeding, play, human interaction, veterinary procedures), and selected clips from online databases (e.g. YouTube) to identify their facial movements. Individual facial movements were classified according to appearance changes produced by the corresponding underlying musculature. …”
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    CalliFACS: The common marmoset Facial Action Coding System
  16. 1736
    “…ONLINE VIDEO LINK: https://youtu.be/9h8IE3abKIM…”
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    Unfolding falciform folds and their consequences - To touch or not to touch
  17. 1737
    “…Misinformation was commonly shared on social media platforms such as Twitter, YouTube, Facebook, messaging applications, and personal websites. …”
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    COVID-19 Misinformation on Social Media: A Scoping Review
  18. 1738
    “…Such barriers to supportive communities were attributed to the criminalized, hidden nature of sex work that resulted in the fragmentation of harm reduction techniques across several online platforms, such as blogs, YouTube videos, closed electronic chat groups, and open online sex worker supportive communities. …”
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    The needs and preferences of Eastern Canadian sex workers in mitigating occupational health and safety risks through the use of Information and Communication Technologies: A qualitative study
  19. 1739
    “…We performed an online survey using an anonymous questionnaire to reach out to African respondents by social media and all possible online platforms such as Facebook, WhatsApp, Instagram, Twitter, YouTube, and so forth. The web-based questionnaires about the myths surrounding the vaccines were extracted from nonscientific information, unproven statements, social media posts, news reports, and people’s concerns about the safety of the COVID-19 vaccines. …”
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    Exploring the myths surrounding the COVID-19 vaccines in Africa: the study to investigate their impacts on acceptance using online survey and social media
  20. 1740
    “…Additionally, a GitHub link (https://github.com/sanjaysinghrathi/DILI-Classifier) for app source code and ISMB extended video talk (https://www.youtube.com/watch?v=j305yIVi_f8) are available as supplementary materials.…”
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    DILI( C ): An AI-Based Classifier to Search for Drug-Induced Liver Injury Literature
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