Project description
A smart crib that detects autism in infants
Patients with autism spectrum disorder (ASD) present with impaired social behaviour and communication. Emerging evidence indicates that preterm infants have a higher risk of developing ASD. The EU-funded ASD-carillon project proposes to develop a smart crib that can analyse visual preference and motor patterns in infants and associate them with ASD. The design involves the use of thermal cameras and sensors already available in the neonatal intensive care unit, but it incorporates AI for data extraction and interpretation. ASD-carillon implements the paradigm of AI for the first time in neonatal medicine, which is expected to assist in the provision of proper ASD intervention at a very early stage.
Objective
Autism Spectrum Disorder (ASD) is a severe permanent neurodevelopmental disorder, affecting 1 in 59 children, worldwide. Researchers have reported a markedly increased prevalence of ASD in preterm populations. Performing early screening of ASD in Neonatal Intensive Care Units (NICUs) would be a unique opportunity to provide a prompt and proper intervention. However, no quantitative solutions are present in the literature. The project “Crib with ARtificial InteLLigence fOr ASD diagnosis in Neonatal intensive care units” (ASD-carillon) aims to design, implement and validate a smart crib for analyzing visual preference and motor patterns in preterm infants in NICUs for early ASD screening. The smart crib integrates a Monitoring Framework, consisting of RGB-D and thermal cameras, and sensors already available in NICUs (e.g. those in the cardiomonitor) for collecting infants data. The smart crib is equipped with an Artificial Intelligence (AI) engine, for processing these data and providing healthcare professionals with quantitative parameters for early ASD screening in NICUs. During the outgoing phase of the fellowship, the ER will benefit from the experience of Prof Zuomin Dong, from University of Victoria (UVic), in the field of sensors and intelligent system, to develop the Monitoring Framework and build the prototype of the smart crib. During the incoming phase, she will collaborate with her main mentor, Prof Emanuele Frontoni from Università Politecnica delle Marche (UNIVPM), to refine the AI Engine. Expert neonatologists as well as neuropsychiatrists from UNIVPM and UVic will be involved as clinical collaborators of ASD-carillon. In the last decades, there has been an increasingly growing number of manuscripts dealing with AI in medicine, but the AI potential in the field of ASD screening in NICUs has not being unlocked, yet. With ASD-carillon, the ER aims to fill this gap, while building the basis for a solid career in the field of AI in neonatology and ASD.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- natural sciences computer and information sciences artificial intelligence
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- medical and health sciences clinical medicine critical care medicine
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
60121 Ancona
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.