Analytic Imaging Diagnostics Arena, AIDA

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Analytic Imaging Diagnostics Arena (AIDA) is a Swedish arena for research and innovation on analytic image-based diagnostics. AIDA is a cross-disciplinary and cross-sectoral collaboration aiming for large scale usefulness from Artificial Intelligence (AI) in healthcare. The arena scope includes tailor-made IT systems and relevant human expertise, firmly rooted in a realistic healthcare environment. AIDA is part of the national Strategic Innovation Program Medtech4Health, a joint initiative by VINNOVA, Formas and the Swedish Energy Agency. 

AIDA is a Swedish arena for research and innovation on artificial intelligence, AI, for medical image analysis. In the arena, academia, healthcare and industry meet up to translate technical advances in AI technology into patient benefit in the form of clinically useful tools. AIDA is an initiative within the Strategic innovation program Medtech4Health, jointly supported by VINNOVA, Formas and the Swedish Energy Agency.

Artificial Intelligence in Healthcare

The technical development within AI has been extremely strong in recent years. Modern AI is a toolbox that fits perfectly into the healthcare vision of “precision medicine”, the fully tailored treatment for each patient. The potential is particularly accentuated in diagnostic imaging, that is, radiology and pathology, where many research studies have shown that AI solutions have tremendous potential for improving quality and efficiency of care.

Despite the recognized potential, very few AI solutions have yet reached actual use in healthcare. The reason is that the step from experiments to clinical routine entails many challenges that you don’t come across in a research lab. Unlike the lab environment, this “clinical wilderness” requires robust handling of all situations, even where incoming data are of poor quality, are contradictory or incomplete, as well as managing constant change of, for example, the set of data sources and human operators. Even the most powerful algorithms need to be carefully placed in a context of workflow and interaction innovations to be useful.

AIDA’s objective is to develop AI-based decision support solutions for imaging diagnostics that reach all the way to clinical use. An underpinning fundamental insight is that this complex challenge requires both interdisciplinary and cross-sectoral collaboration.

AIDA – an Arena for National Collaboration

AIDA is built on three cornerstones. Most resources are used for projects developing AI-based decision support solutions. These are run by research groups in industry and academia across Sweden, in collaboration with health care providers. Opportunities to suggest projects are published regularly, and those approved are partially funded by AIDA.

The second cornerstone is the AIDA core environment, physically located at CMIV at Linköping University, designed to support the development projects. All AIDA partners have access to a tailor-made technology platform for efficient AI development, run and developed by Sectra, and large amounts of training data will gradually be made available. Perhaps even more important is the meeting place aspect of the core environment, where workshops and meet-ups are frequently organized, providing valuable knowledge and exchanges.

The third cornerstone is clinical competence development, to give healthcare the right knowledge base to drive the AI development in the most effective direction. The main AIDA offering is clinical fellowships including partial funding. In a fellowship a care provider employee in AIDA:s area, for instance a radiologist or pathologist, gets continued education through carrying out an individual project concerning AI decision support. AIDA also regularly offers AI courses for physicians.

Engaging with AIDA

All companies, academic groups and health care providers interested in AI in diagnostic imaging are welcome to join AIDA. There are many possibilities to formal AIDA efforts with partial funding. But you can join also without defined project ideas as a Network partner (full description here), and among other benefits take part of the knowledge exchange and shared data sources within AIDA.

You can read more about how to apply for projects and fellowships on the Medtech4health site

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