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Accelerating AI development in the hospital setting

Putting healthcare in the driver’s seat and using innovation procurement as a strategic tool, resulted in effective collaboration between healthcare and industry for the development and implementation of AI decision support in clinical production.
Tobias Granberg managed a pilot project for the develop­ment of AI support linked to MRI in multiple sclerosis (MS), which has now been introduced into clinical routine.

The project I-AID, Integrated AI Diagnostics, was initiated to accelerate the development, and implementation of artificial intelligence, AI, in healthcare. The project laid a foundation for future development and implementation of AI based on clinical needs, in the clinical setting and in collaboration with an industry partner.  

Guide for industry collaboration and development

The I-AID project has resulted in a well-established trajectory, a support to safely develop and introduce AI into healthcare through collaboration between health­care organizations, researchers, and companies. The guide can be used by clinical departments at the hospital to identify the need for AI support and subsequently choosing a path to ensure that a matching solution is developed – if the solution is not yet commercially available on the market.

Solution implemented in clinical routine

Three clinical pilot projects were run during the project, of which one (Quantitative image measurements and the reduced need for MR contrast agents in MS) is now implemented in the clinical routine while development continues with industry partners.

Knowledge recycled

Since the end of the project, more projects have been started in neuroradiological activities together with companies, based on lessons learned from I-AID and contract forms.

The project I-AID (Integrated AI Diagnostics) was initiated to accelerate the development, and implementation of artificial intelligence (AI) in healthcare.

I-AID was a regional effort managed by Karolinska University Hospital and Region Stockholm. The project formally ended in 2020, but several AI initiatives are still driven within different clinical settings using the developed processes as a guidance.

Partners: Karolinska University Hospital and Region Stockholm with support from Vinnova. The AI tool for MS diagnostics in MRI is developed together with Combinostics, within a long-term collaboration.