EIT Health: join the second HelloAIRIS programme

HelloAIRIS is an online Artificial Intelligence training programme organised by GE Healthcare. 

The programme is designed to introduce participants to the basics of Artificial Intelligence, unveil and discover its challenges and build a community of curious and forward-thinking individuals.

Facing increasing challenges with human resources, healthcare systems globally are struggling to respond to pressures of the demand. One technology that has great potential to impact this issue is Artificial Intelligence. Although still developing, AI is already opening many opportunities.

The online community is designed to provide mentoring opportunities with highly qualified experts from  GE Healthcare, KTH and LEITAT.

Who can apply

University students from RIS regions from medical, engineering and business (economics, marketing) faculties and interested in exploring innovative solutions for more affordable and accessible healthcare are the primary target audience of this series of online trainings. However, we will raise awareness of practicing healthcare professionals from RIS regions as well as they can be ambassadors of innovative technologies. As a radiologist, you will receive an actionable understanding and workshop on the opportunities of implementing AI.

 Live sessions and e-learning modules are open from 05/10/2020 to 30/11/2020 for all RIS countries.

Please note that timing provided on this page is given for guidance only. Please visit the website for up-to-date information.

Why collaborate with AI?

Innovation is inevitable. According to the Breugel Institute, 54% of jobs in the OECD countries could be automated with innovative solutions in the next two decades. That is, more than 5 jobs out of 10 will be affected somehow by digital transformation.

AI is one of the most powerful digital forces sweeping the medical industry today. Perhaps, above all of its other potential uses in healthcare, its most immediate, promising and practical application can be found in radiology.

For medical professionals, the rising buzz around Machine Learning and Artificial Intelligence does little to provide an understanding on how it can be integrated into their own medical institutions or daily practice without risking the threat of replacing themselves. The result is a lost opportunity to improve medical practices and provide better, more affordable care.

Demystify the world of AI

Automated processes and increased development in the cognitive capabilities of software are rapidly transforming the way in which radiologists work. This training aims to give clarity to professionals wondering how the black box of AI transforms traditional image processing, and how it will affect radiology professionals’ daily responsibilities and career trajectories. Research experts will provide a contextual understanding of AI, and its history and evolution in the field of radiology.

Learn the language behind Machine Learning

Dispel confusion surrounding algorithm-based medical image processing. Gain an understanding of the technical jargon behind the technology and its application and pave the way for an informed approach to AI implementation in your institution. Tech experts and innovators clearly break down the technical information that you need to know in order to empower yourself with AI.

Apply and boost your professional performance

There are many misgivings around integrating AI into radiology workflows, based on the fear that the technology will ultimately replace the value of information experts in medicine. A selected group of radiology professionals will share their experiences on how they’ve used algorithm based image processing to successfully provide a more differentiated diagnosis, pick up repetitive routine tasks, offer a second opinion and eliminate inter- and intra-observer variability, thereby boosting the quality of their work and caregiving.

HelloAIRIS is funded by EIT Health, organised by GE Healthcare, KTH and LEITAT. EIT Health is supported by the EIT, a body of the European Union.