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AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

AI-Generated “Slop” in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers

Distributions of the age of videos at time of collection (A and C) and log of view rate in views/day (B and D) for You Tube (A and B) and Tik Tok (C and D). Dashed and solid lines are mean and median, respectively. Violin plots generated using Stats Kingdom Violin Plot Maker. The qualitative analysis resulted in 16 codes for problematic features.

Eric M Jones, Jane D Newman, Boyun Kim, Emily J Fogle

JMIR Med Educ 2025;11:e80084


Integrated, Cross-Entity Information on Preventive Measures for Bowel, Breast, and Prostate Cancer: Evaluation Study of the Web Application “Prevent-Take-Up”

Integrated, Cross-Entity Information on Preventive Measures for Bowel, Breast, and Prostate Cancer: Evaluation Study of the Web Application “Prevent-Take-Up”

Participants were also asked about nicotine, red meat and alcohol consumption, the frequency of alcohol intake (1‐5 d or 6‐7 d per wk) and the amount of alcohol consumed (≤12 g/d for women and ≤24 g/d for men) [19]. Diabetes mellitus was also queried (Yes/No/Don’t know). All answers were taken into consideration for the personalized recommendations.

Angelika M R Kestler, Julian D Schwab, Tanja Jähnig, Michael Karl Melzer, Friedemann Zengerling, Stefan Lukac, Wolfgang Janni, Christian Bolenz, Anne Barzel, Hans A Kestler, Thomas Seufferlein

JMIR Cancer 2025;11:e76393