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Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment.

Periodic Reporting for period 1 - AI-Mind (Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment.)

Reporting period: 2021-03-01 to 2022-02-28

Every three second period someone in this world develops dementia. There are over 50 million people worldwide living with dementia and by 2030 this figure is expected to reach 82 million. Besides time-consuming patient investigations with low discriminative power for dementia risk, current treatment options focus on late symptom management. By screening brain connectivity and dementia risk estimation in people affected by mild cognitive impairment, the EU-funded AI-Mind project will open the door to extending the ‘dementia-free’ period by offering proper diagnosis and early intervention. AI-Mind will develop two artificial intelligence-based digital tools that will identify dysfunctional brain networks and assess individual dementia risk. Personalised patient reports will be generated, potentially opening new windows for intervention possibilities.
During its first year, AI-Mind has made very good progress and all the anticipated achievements have been reached. These include the introduction of general management and governance rules, the principles for clinical and technical data collection, the software structure (software architecture) and the requirements for software development, as well as the initial Artificial Intelligence (AI) model explorations. The AI-Mind clinical study that will validate the AI-based tools has been initiated and the first participants have been enrolled since January 2022. In addition, the first ethical, social, and economic cost-benefit investigations that will assess the feasibility and viability of the “under-development” tools have been prospectively implemented.

In this first reporting period, the foundations for the accomplishment of the project`s objectives had been laid on:
• concept of AI-based tool development and data governance,
• data handling procedures,
• first piloting steps for the AI-Mind Connector and Predictor algorithm development,
• IT software structure with its user-friendly interface,
• implementation the clinical validation study,
• framework for the Health Technology Assessment (HTA),
• planning and management of dissemination and communication activities,
• ethical exploration and requirements,
• innovation management.

The next periodic reports will include the necessary clinical exploitation of the project results, eventually leading to an ambitious clinical breakthrough by using a new diagnostic tool for the prediction of a future dementia risk in the cohort of people suffering from mild cognitive impairment.
The integration of AI-Mind within the newly established ESFRI`s EBRAINS infrastructure for research of sensitive data (EBRAINS HealthDataCloud) has brought AI-Mind beyond the planned expectations for the first year. This introduced new developmental possibilities, boosting the use and validation of the upcoming AI-Mind results.
It is vital for Europe to establish robust infrastructures that will support the overall AI health strategy and introduce trustworthy AI-tools in our health care systems. AI-Mind welcomes this integrative opportunity and its responsibility to contribute to such a new infrastructure as a user case. AI-Mind in collaboration with EBRAINS, are better equipped to recognise and evaluate its significant socio-economic implications which the implementation of its tools may have for the European Union.
AI-Mind concept