The diagnostic simulation program in cerebral vascular disease is a training activity aimed at both neurologists and neuroradiologists who are interested in strengthening their skills in the diagnosis and identification of cerebral vascular diseases, through tomographic images.
Too late
Let us notify you for next time
Description
Stroke is one of the causes of disability and death in the world and one of the main reasons why health professionals request brain imaging studies.
Although the diagnosis of acute cerebrovascular accident is mainly clinical, an imaging study should always be requested to: rule out a contraindication for thrombolysis; differentiate cerebral infarction from hemorrhage; assess the extent of stroke / complications; rule out any other reason for the acute presentation.
This is a training activity aimed at both neurologists and neuroradiologists, emergency physicians, internists, etc. who are interested in strengthening their skills in the diagnosis and identification of cerebral vascular diseases through tomographic images.
The program offers access to 4 modules (20 cases) of the diagnostic imaging simulator, complemented by a series of online conferences coordinated by a multidisciplinary team of specialists in which the most relevant aspects of the resolution of the cases, as well as recommendations on the interpretation of images in this type of pathology.
The simulator allows you to practice in a real environment that replicates the work of specialists linked to diagnostic imaging. It is a type of "learning by doing" that allows learning from mistakes and successes in the interpretation of images; Once each case is completed, the user will receive the answers immediately with comments on both the structured report and the images, in order to strengthen the entire learning process.
We recommend that you have completed each of the modules before attending each of the different online sessions.
These online sessions will be recorded, and once each one of them has concluded, they will be available for later viewing. We would like to highlight that those who participate in the live sessions will have the opportunity to interact with the experts who collaborate in the project.
Learning objectives
- Prepare the clinician to be able to interpret radiological images in an adequate way.
- Keeping the clinician aware of the important role that an acute diagnosis can play in patient management.
- Enforce the importance of communication with the neurologist, particularly in the event that urgent intervention is required.
Technical requirements
The training platform runs entirely in the browser but the online PACS places a considerable load on the hardware and internet connection when viewing and loading cases.
| Hardware | Tablets * | Minimum | Recommended |
|---|---|---|---|
| Memory (RAM): | 2 Gigabyte | 8 Gigabyte | 16 Gigabyte |
| Processor (CPU): | Dual core 1.85 Ghz | Dual core 2 Ghz | Quad core 2.5 Ghz |
| Internet connection | Minimum | Recommended | |
| Speed: | 10 Mbps | 25 Mbps | |
| Software | Tablets | Desktop | |
| Browser: | Safari * | Chrome ** | |
- * Tested with Safari on iPad 9.7 (2017), should also work on Android with Chrome. User interface not optimized for smaller screens. Large cases (more than 600 images) are not able to be opened on tablet or mobile devices due to memory constraints.
- ** Firefox, Edge and Safari also work but might not provide an equally smooth experience. Internet Explorer is not supported.
Introduction Video
Lecturers
-
Hussein Kamel M.D.
Toronto, Canada
Neuroradiologist collaborating with Telemedicine Clinic. Neuroradiologist with over 25 years of experience. Previously Associate Professor of Clinical Radiology at Weill Cornell Medical College (WCMC), Qatar. MB BCh, Egypt, 1977, MS RD, Egypt, 1983, FRCR, London and FFR(RSCI), Dublin, 1991. Consultant Royal Victoria Hospital, Belfast, UK, Consultant, Hamad Medical Corporation (HMC) and Associate Professor, Clinical Radiology, WCMC, Qatar. Now collaborator with TMC. In addition to his depth of international radiology experience, Dr. Kamel has a passion for teaching and sharing knowledge with radiologists on a subspecialisation path.