Monday, November 30 | 12:15 p.m.-12:45 p.m. | HP208-SD-MOA3 | Lakeside Learning Center, Station 3
Cat videos, daredevils, style mavens: You'll find them all on YouTube. But what does the wildly popular video site have to say about radiation safety and risks?A lot, it turns out, though much of it is very bad, according to fifth-year radiology resident and YouTube researcher Dr. Kedar Patil from McGill University in Montreal.
In this moderated poster session, Patil will discuss what his group found that "pertains to the use of YouTube to educate the public about radiation risks, while also highlighting the use of this social media to promote the radiology profession and increase its visibility in healthcare," he told AuntMinnie.com.
Patil and colleagues aimed to analyze the quality of YouTube videos about diagnostic imaging, radiation risks, and mammography using a "systematic semiquantitative cross-sectional analysis," the session abstract states.
Among the hundreds of videos they found searching keywords such as "CT scan" and "radiation risk," almost one-fourth were of poor quality, while others were surprisingly good. Find out more at this moderated poster series on health policy and research.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
