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EIT Health: Artificial Intelligence training

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.

In an effort to bring this technology closer to the next generation, HelloAIRIS is an online AI training program 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. HelloAIRIS is funded by EIT Health.

HelloAIRIS is an online AI training programme 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.

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

Apply here


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.


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.


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.


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