Session 3: Scenario/Simulation based learning

Friday, 19 June, 2015 - 11:30 to 13:00
Conference room: 

A Web-Based Serious Game for Supporting Cognitive Training

Abstract: 
The purpose of this paper is to present a solution for augmenting cognitive training of the working memory through game-based computer supported learning. Working memory is the system that actively holds multiple pieces of transitory information in the mind, where they can be manipulated. Working memory includes subsystems that store and manipulate visual images or verbal information, as well as a central executive that coordinates the subsystems. To train the working memory a serious game based on visual images and verbal information has been created. More specifically, this serious game, aims at examining, training and improving the performance of the working memory. The paper will present the design and evaluation of the game. In general the evaluation results are very positive concerning (a) the effectiveness and (b) the usability of the game. More specifically, the results of the research revealed that after five weeks of cognitive training, the working memory of the students has substantially been improved. Furthermore, the users assessed the cognitive game as usable and pleasant.

Virtual hepatic surgery scenarios using manipulated real liver models

Abstract: 
Background High quality patient specific 3D liver models can be nowadays exported using computer liver segmentation algorithms. Specific 3D image editing tools can be used to manipulate the liver models and create virtual surgical cases. Objective The aim of our study was to create virtual hepatic surgery scenarios using a novel liver segmentation and preoperative planning application and evaluating it as an educational tool. Method A liver segmentation and preoperative planning application was developed on MATLAB® 2013a. Special image editing tools were designed to allow manipulation of the exported 3D liver models. Three pathological and two liver imaging datasets from healthy patients were used for the validation. The 3D liver models which have been created after liver segmentation were then manipulated by; 1) changing tumors’ volumes, 2)adding tumors and 3)designing liver injuries. Addition fictitious clinical information were implemented. Residents were asked to study the virtual cases and propose resection plans. Their scenarios were evaluated and discussed with specialized liver surgeons. The Kirkpatrick’s four levels model of learning evaluation was used. Results Up to 30 different virtual liver surgical cases were created. The number of virtual scenarios that could be designed is theoretically unlimited. The residents quickly and effectively learned to evaluate critical anatomical and pathological structures and propose liver resection plans considering liver surgery principles. Conclusions Virtual hepatic surgery scenarios allowed for a rapid education without the need to wait for similar real cases. The proposed liver segmentation and hepatectomy simulation application can be used for education purposes.

Liver 3D modeling and hepatectomy simulation for the residents’ preoperative education

Abstract: 
Background Liver segmentation from medical images produces high quality patient specific 3D liver models which are used for preoperative planning and intraoperative guidance. These 3D models can be manipulated and visualized in various ways and can be useful for residents’ education. Objective The aim of this study was to evaluate the implementation of a novel liver segmentation and hepatectomy simulation application as a tool for the residents’ preoperative education. Method We developed in MATLAB® 2013a a liver segmentation and preoperative planning application. Ten liver imaging datasets of a prospectively selected random sample of patients undergoing elective hepatectomies at our institution were used for liver segmentation and 3D modeling. Residents were asked to identify anatomical and pathological structures and propose liver resection plans. Intraoperatively, they could consult the computer models in real time. Their surgical scenarios were evaluated and discussed with specialized liver surgeons. Learning objectives were defined and their accomplishment was evaluated using the Kirkpatrick’s four levels model. Results The residents learned to; 1)identify anatomical and pathological structures 2)calculate future liver remnant volume (FLR) from segmented liver images 3)propose liver resection plans based on FLR and liver vascular tree and tumor relations 4)consult liver medical images (CT and MRI) 5)understand the role of computer assisted surgery. They evaluated in-vivo their preoperative planning decisions and understood better the surgical operations. Conclusions Our proposed liver segmentation and hepatectomy simulation application appears to be appropriate for the preoperative education of resident surgeons.

Building social networks: a Web microportal to promote ADHD monitoring

Abstract: 
The WHAAM (Web Health Application for Adhd Monitoring) project, funded by the European LLP program, aims at spreading a multimodal and comprehensive cognitive-behavioral treatment for the ADHD. The main deliverable of this project was the WHAAM app, a digital environment designed to support parents, teachers and health professionals in the monitoring children’s behaviors throughout different contexts: home, school and social interaction with peers. A web microportal was developed to introduce potential users both to the methodology and the main characteristics underlying this environment. The aims of the microportal were to illustrate the use of the WHAAM application and describe the ideas underlying the WHAAM approach. The web interface is divided into two areas: the first, introduces users to a short tour in the core functionalities of the application, the latter guides users to keep information around four principal themes, which are ADHD overview, Observation, Intervention and Training. Each of them respects the main steps of an approach based on the careful analysis of the behavior’s functions in the main life contexts of the child. This second area permits both horizontal and vertical navigation. In the first modality, users can explore the contents very quickly, obtaining a fresh and simple picture of the most important concepts of the approach used in the project. Otherwise, in the vertical one, users can examine in depth many ADHD resources, some of which are internal to the microportal, and others external. Authors have paid special attention to the use of a simple terminology, avoiding specialized and obscure terms and concepts. Besides, they carefully filtered any sensible information and examined ethical issues related to the health information management. The final version of the microportal will be available in four languages.

Otorhinolaryngology Elearning Textbook: Interacting with Rich Content

Abstract: 
The authors describe their experiences while attempting to create an e-learning course for students of medicine. E-learning of course has been around for more than a decade in its present form with highly interactive platforms like Blackboard (TM) and Moodle. However, while for most disciplines the transition to an online course is fairly predictable, for medicine a new test field emerges: training with Rich Content. Rich Content does not merely mean extended use of multimedia material; it also denotes high interactivity in substituting the direct manipulation of a patient or a subject with its "avatar" equivalent. Can the student gain in experience and understanding better than sitting on a desk within the ampitheatre? Can he access more vivid material than his classic textbooks? Can the instructor appraise the scientific standard of his class by gauging the performance in formative and final online evaluations? These and many other issues will be presented in this paper mirroring the experience for a real online course in medicine.
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