A peer-coaching training program for radiologists who want to proactively design their future career to benefit from AI technologies.
Too late
Let us notify you for next time
Description
“Those who use AI will replace those who don’t”! AI and its related technologies can fundamentally impact radiology work. But what does it mean for our career? What are the new opportunities for shaping our career? How can we best prepare for it? And given our scarce, valuable time, how can we best invest it in developing the skills that are best suited to our own career? The truth is that there is no better answer to these questions than the one that each of us reflectively and mindfully finds for his/her own condition. In this training program, we learn about the various ways in which AI can impact radiologists’ career, reflect on the implications of these impacts for our own career, identify the career paths that best suit our own conditions and design the steps towards achieving it.
Participants will submit a 2 page of career reflection and plan 2 weeks after the last session. This career reflection and plan should demonstrate how participants applied the content to their circumstances and defined the actionable steps for their own career journey.
Programme
Session 1: What is going on and why should I care?
Date: 27th of September 2021, 15.00-16.00 CET
- The trend of artificial intelligence and its related technologies (learning about more than 300 applications; and beyond the non-imaging applications)
- How AI can impact the work of radiologists? What remains, what is not needed, and what is new?
- Practical: peer-coaching on what are the implications of these developments for my own work?
Session 2: A deep dive into a real-life use-case
Date: 4th of October 2021, 15.00-16.00 CET
- How does the process of developing AI look in reality?
- How to bring AI tools into medical practice?
- What roles can radiologists play in different steps?
- Who can/should be engaged?
- Practical: developing a simple use-case of an AI application
Session 3: What are the various opportunities for my future career
Date: 11th of October 2021, 15.00-16.00 CET
- What are the range of options and opportunities that radiologists have in relation to AI and new technologies?
- What are the benefits and challenges of pursuing each path?
- What are the implications of pursuing each path for my own career
- Practical: peer-coaching on choosing the desired career path for facing AI
Session 4: How can I develop my career for future
Date: 18th of October 2021, 15.00-16.00 CET
- What are the skills and capabilities that I need to develop?
- What are the capabilities that I already have and can build on them?
- What are the different ways to learn and develop these skills? (using the research on training programs and asking them to choose from them)
- Practical: Peer-coaching based on Expertise Pyramid model
Session 5: From vision to action plan
Date: 25th of October 2021, 15.00-16.00 CET
- What are the effective, feasible steps that I can take?
- How can I integrate these steps into my current work conditions?
- How to secure a sustainable learning journey?
- Practical: reflecting on their ‘cup of tea’ (think of your own set of training programs/components)
Learning objectives
- Learn about how AI and related digital innovations impact radiology work
- Reflect on the implications of these innovations on the career and clinical practice of radiologists
- Recognize the various career paths that radiologists may pursue in the future
- Identify the opportunities for developing the work and career of radiologists (yourself, your fellow colleagues, etc)
Programme will include
- Based on scientific research on and experience of more than hundred radiologists who actively engaged with AI in their career
- Practical trainings, based on peer-coaching methods with your colleagues
- Limited number of participants and opportunity to interact with the experts
- Online, flexible, and interactive
- Combined with individual coaching sessions (optional)
Level
Level II - General radiologist
- Radiology residents and junior radiologists
- Radiologists with interest in Imaging Informatics and AI
- Radiologists and medical managers willing to embrace innovations into the work and career of their teams
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.
Featured video
Lecturers
-
Mohammad H. Rezazade Mehrizi Ph.D.
Amsterdam, Netherlands
Associate Professor, School of Business and Economics, Knowledge, Information and Innovation, KIN Center for Digital Innovation, Vrije Universiteit Amsterdam
-
Prof. Erik Ranschaert M.D. Ph.D.
Ghent, Belgium
Visiting Professor at Ghent University, Belgium Radiologist at St. Nikolaus Hospital in Eupen, Belgium Member of AI Centre of Excellence, Unilabs Past-president of EuSoMII, advisor for several companies in the domain of AI