I-AID – accelerating the use of AI in healthcare
The project I-AID (Integrated AI Diagnostics) aims to accelerate the development and implementation of artificial intelligence (AI) in healthcare. I-AID should contribute to safe and fast diagnostics, a more effective use of resources and a more equal healthcare. The project is a regional effort managed by Karolinska University Hospital and Region Stockholm.
Karolinska University Hospital invited Industry for dialogue around development and clinical implementation of new AI-tools for Digital Pathology in Colo-Rectal Cancer.
The purpose of this dialogue with the market was for Karolinska University Hospital to thoroughly understand the state of art with regards to digital pathology AI decision support tools, and the potential interest from the market to participate in AI algorithm development and implementation with Karolinska and its clinical partner, as well as for the hospital to share its on-going and current strategies and developments with regards to implementation of digital pathology. And for Karolinska to, after such dialogues, formulate an implementation strategy for the specified AI decision support tool, likely encompassing a public procurement for the selection and business agreement with a suitable industry partner.
Request for information, RFI
Deadline for RFI is 31st of January.
Follow link to RFI documents: 2020/S 010-019492
Supported by the regional I-AID project – Integrated AI Diagnostics
The dialogue is supported by the I-AID project, a regional effort to accelerate the use of AI in healthcare, matching clinical needs with leading AI developers.
Saab Ventures AB
+46 708 923737
Karolinska University Hospital and Region Stockholm have signed a contract with the company Combinostics, which will be the partner for the development of an AI-based decision support tool for MRI diagnostics in Multiple Scleros (MS). The aim is to improve quality, diagnostic precision and effecicency for the benefit of patients with Multiple Sclerosis
The goal is to jointly develop, clinically validate and implement an AI-based decision support tool to be used in the diagnosis and follow-up of MS patients, to improved quality, diagnostic precision and increased efficiency. The development is part of the regional project I-AID aiming to accelerate the development and implementation of artificial intelligence in healthcare.
The procurement – an innovation in itself
– This is a milestone for the I-AID project that has driven the work that has now led to this procured collaboration, where research, innovation and possible clinical use are included, says Birgitta Janerot, project manager.
In the I-AID project, Karolinska and Region Stockholm have tested a unique novel twist of Public Procurement of Innovation where the selection criteria did not include price. Instead, quality parameters, such as experience and competence of the supplier, have been used for selection. And remuneration to the supplier has been specified up front in the form of unique clinical resources rather than monetary.
– It is very exciting that we have succeeded with this procurement, which to our knowledge never have been carried out before, and which shows that companies and healthcare can find a ' win-win ' and together effectively contribute to the development and implementation of new innovative solutions for healthcare, says Tomas Borgegård, Innovation Manager at the Center for Innovation at Karolinska.
I-AID is not just about developing algorithms – it's about enablingimplementation of AI in healthcare by establishing clear processes, guidelines and infrastructures.
Addressing clinical needs
The I-AID project will address a number of fundamental aspects for the development, implementation and utilization of AI decision support systems in clinical practise:
- Clinical adoption. Increased clinical know-how with regards to co-development, validation and utilization of AI decision support systems in clinical practice.
- IT infrastructure. Technical infrastructures and processes for collecting, sharing, anonymizing data for co-development, validation and integration of AI tools.
- Procurement. Processes for efficient public procurement of external partners for co-development of AI tools.
- Regulatory. Legal and regulatory guidelines for collecting and sharing clinical data, classification and management of the AI tool.
The I-AID project will also carry out a number of clinical use cases in close collaboration with external AI developers. With the goal to implement CE marked AI tools in clinical practice, showing positive effects on healthcare delivery KPIs, and to generate businesses on a global market.
Phone: +46 (0)70-085 69 77
E-mail: Tomas Borgegård