AIM_COACH · Artificial Intelligence Model for Cognitive Assessment for infants and Children
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-08-01 → 2023-07-31
- EU contribution
- €214,159
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Artificial Intelligence Model for Cognitive Assessment for infants and Children
Joy's premature birth resulted in a four-week stay in the NICU, and her first birthday celebration raised concerns about her social responsiveness. Subsequent medical evaluation led to a diagnosis of perceptual developmental delays, prompting her parents, to consider early automated detection methods for such deficits, as opposed to later subjective behavioral techniques. This issue highlights the importance of identifying and addressing developmental delays and perceptual deficits in children, whether they are born prematurely or at full term. Addressing these challenges is crucial for the following reasons: Ensuring healthy child development is a core societal goal. Early detection and intervention for developmental delays improves well-being and minimizes long-term difficulties. Early intervention fosters equal opportunities for all children, irrespective of developmental challenges, enabling success in various aspects of life. Unaddressed delays lead to lasting social and economic burdens. Early detection and intervention reduces the need for costly later interventions, potentially preventing lifelong disabilities and saving resources. AIM_COACH, a research project, seeks to understand infant brain development and assist children with challenges like Joy's. It studies brain responses in full-term and premature infants to achieve these goals: Automate Processing: Develop automated methods for analyzing infant brain signals (EEG). Early Detection: Use machine learning models to identify early signs of learning or cognitive issues in infants. Knowledge Documentation: Compile valuable research findings to support professionals in infant care and advance this field of research.
Data: CORDIS, © European Union
Project objective
The development of the understanding of normal and especially pathological human brain development is as important as ever, and has the potential to unlock enormous clinical benefits. It is essential to understand the underlying reasons that leads to faulty brain development in premature babies, we need to undertake studies that investigate these reasons so as to use the results to provide at-risk infants with an early diagnosis of brain damage and start intervention while the brain is still plastic. AIM_COACH: Artificial Intelligence Model for Cognitive Assessment for infants and Children, intends to answer all these questions. Objective of this research is to document normal and abnormal brain development in full-term and premature infants by analysing Electroencephalography (EEG) signals of infants and small children. To this end, researcher will develop an Artificial intelligence based Cognitive Assessment system for real time analysis in order to facilitate learning in infants and young children who show signs of developmental delay and learning problems. It will be offered as an intervention programme to those children that are likely to benefit most from an early diagnosis and early intervention before school age. Marie Skłodowska- Curie Actions- Individual Fellowships Call (MSCA-IF) which is purely a research and training fellowship provides a conducive environment in realising the objectives of AIM_COACH and offers an ideal ambience for developing skills to reach future career objectives in view of the researcher’s competitiveness for permanent academic posts at the world’s leading-100 universities.
Original text from CORDIS.
Participants
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU · TrondheimCoordinatorNorway
Links
Data: CORDIS, © European Union