Development and validation of an educational software based in artificial neural networks for training in radiology (JORCAD) through an interactive learning activity.

ABSTRACT: The use of Computer Aided Detection (CAD) software has been previously documented as a valuable tool to improve specialist training in Radiology. This research assesses the utility of an educational software tool aimed to train residents in Radiology and other related medical specialties and students from Medicine degree. This in-house developed software, called JORCAD, integrates a CAD system based in Convolutional Neural Networks (CNNs) with annotated cases from radiological image databases. The methodology followed for software validation was expert judgement after completing an interactive learning activity. Participants received a theoretical session and a software usage tutorial and afterwards utilized the application in a dedicated workstation to analyze a series of proposed cases o

SUBMITTER: Hernandez-Rodriguez J 

PROVIDER: S-EPMC10070709 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature