Maxime Bouthillier, Aidan Canil, Brian Yu Chieh Cheng, Kiana Lebel, Jessica L Dobson
Inaugural Pan-Canadian RADGames: Results From a Successful Approach to Radiology Education for Medical Students
Academic radiology
create reduced version 66item gross motor function measure rgmfm66 using innovative artificial intelligence methods improve efficiency administration gmfm66 study undertaken using information existing data set children cerebral palsy participating rehabilitation programme different selflearning approaches random forest support vector machine svm artificial neural network evaluated estimate gmfm66 score fewest possible test items test agreements evaluated among statistics intraclass correlation coefficients iccs overall 1217 gmfm66 assessments 509 females mean age 8y 10mo sd 3y 9mo single time 187 gmfm66 assessments reassessments 80 females mean age 8y 5mo sd 3y 10mo 1 year evaluated model svm predicted gmfm66 scores accurately iccs rgmfm66 full gmfm66 0997 95 confidence interval ci 09960997 single time 0993 95 ci 09930995 evaluation change time study shows efficiency full gmfm66 assessment increased using machine learning selflearning algorithms presented rgmfm66 score showed excellent agreement full gmfm66 score applied single assessment evaluating change time