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

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 of thorax computed tomography (CT) and mammography. A total of 26 expert participants from the Radiology Department at Salamanca University Hospital (15 specialists and 11 residents) fulfilled the activity and evaluated different aspects through a series of surveys: software usability, case navigation tools, CAD module utility for learning and JORCAD educational capabilities. Participants also graded imaging cases to establish JORCAD usefulness for training radiology residents. According to the statistical analysis of survey results and expert cases scoring, along with their opinions, it can be concluded that JORCAD software is a useful tool for training future specialists. The combination of CAD with annotated cases from validated databases enhances learning, offering a second opinion and changing the usual training paradigm. Including software as JORCAD in residency training programs of Radiology and other medical specialties would have a positive effect on trainees' background knowledge.

Determining the effects of traditional learning approach and interactive learning activities on personal and professional factors among Saudi intern nurses.

Aim: This study determines the impact of traditional and interactive learning activities on personal and professional development among Saudi intern nurses. Design: A comparative research design was adopted by recruiting 48 intern nurses, who were divided into two equal groups. Methods: Data were collected through the clinical assessment tool for nursing education. Results: Enthusiasm (p < .0001), initiative (p < .0001), realistic self-confidence (p < .0001), competent cooperation with staff (p < .0001) and competent cooperation with patients (p < .0001) were significantly higher among the interactive learning activity group compared with traditional group. The interactive learning activity showed better attitude of Saudi intern nurses in terms of caring, respect and sensitivity towards the needs and well-being of their patients, while considering personal factors.