IADR Abstract Archives
Evaluating Dental and Craniofacial Bionetwork for Image Analysis’s Dissemination Efforts
Objectives: To train clinician, researchers and software developers by providing access to the National Alliance of Medical Image Computing (NA-MIC) and Dental and Craniofacial Bionetwork for Image Analysis (DCBIA) website resources-including software, documentation, training materials, and video tutorials available at https://www.youtube.com/playlist?list=PLl4LKTeqIlaeBYEHGp1E-0xc510B_bC2Z.
Methods: Initially creation, then continuous update of educational training video resources available on our YouTube channel. The performance of the dissemination of the videos was tested utilizing YouTube Analytics. Analytic data of the impact of our training materials included the number of views, total video view time, how each trainee obtained access to the training materials, and geographic locations of where the videos have reached.
Results: The 18 DCBIA videos were watched for a total of 17,851 minutes, with a total of 8,358 views. The ratio of total watch time/total lengths of videos was in average 117, the average number of times each video was watched to complete length. The route of access users took to access the tutorials was different for each video, the main route being direct access from our DCBIA YouTube Channel for 7/18 videos, our YouTube playlist for 5/18 videos, and suggested videos for 4/18 videos. Video 4: Construct the Surface Models using 3D Slicer Model Maker presented the highest indices of tool training and dissemination, with 3,006 views, and 1,348 times the video has been watched in it’s entirety. Interestingly, this video was our only one to be reached most often through YouTube searches. The videos have reached viewers in 79 countries, with the US and Brazil with highest reach.
Conclusions: The DCBIA dissemination videos have contributed to the expansion of the pool of researchers who will use and develop methods for advancing the field of patient-specific modeling using 3D image analysis in dentistry.
Methods: Initially creation, then continuous update of educational training video resources available on our YouTube channel. The performance of the dissemination of the videos was tested utilizing YouTube Analytics. Analytic data of the impact of our training materials included the number of views, total video view time, how each trainee obtained access to the training materials, and geographic locations of where the videos have reached.
Results: The 18 DCBIA videos were watched for a total of 17,851 minutes, with a total of 8,358 views. The ratio of total watch time/total lengths of videos was in average 117, the average number of times each video was watched to complete length. The route of access users took to access the tutorials was different for each video, the main route being direct access from our DCBIA YouTube Channel for 7/18 videos, our YouTube playlist for 5/18 videos, and suggested videos for 4/18 videos. Video 4: Construct the Surface Models using 3D Slicer Model Maker presented the highest indices of tool training and dissemination, with 3,006 views, and 1,348 times the video has been watched in it’s entirety. Interestingly, this video was our only one to be reached most often through YouTube searches. The videos have reached viewers in 79 countries, with the US and Brazil with highest reach.
Conclusions: The DCBIA dissemination videos have contributed to the expansion of the pool of researchers who will use and develop methods for advancing the field of patient-specific modeling using 3D image analysis in dentistry.