Leciel Bono, JoAnn Gurenlian, Jessica August
A conceptual model using CliftonStrengths® to support dental hygiene students' professional development
International journal of dental hygiene
medical imaging courses due complexity anatomical relationships limited number practical course hours instructors improve teaching quality practical skills selfdirected learning ability always challenge higher medical education artificial intelligenceassisted diagnostic aisd software based volume data reconstruction vdr technique gradually entering radiology converts twodimensional images threedimensional images ai assist image diagnosis however application artificial intelligence medical education still early stages purpose study explore application value aisd software based vdr technique medical imaging practical teaching provide basis improving medical imaging practical teaching totally 41 students majoring clinical medicine 2017 enrolled experiment group aisd software based vdr used practical teaching medical imaging display 3d images mark lesions aisd annotations provided diagnostic suggestions given also 43 students majoring clinical medicine 2016 chosen control group taught conventional film multimedia teaching methods exam results evaluation scales compared statistically groups total skill scores test group significantly higher compared control group 8451 381 vs 8067 543 scores computed tomography ct diagnosis 4993 359 vs 4660 489 magnetic resonance mr diagnosis 1741 100 vs 1693 114 experiment group significantly higher scores academic selfefficacy 8217 467 selfdirected learning ability 23556 1350 group significantly higher compared control group 7893 629 22635 1390 applying aisd software based vdr medical imaging practice teaching enable students timely obtain ai annotated lesion information 3d images may help improve image reading skills enhance academic selfefficacy selfdirected learning abilities