Project summary

Unilateral cerebral palsy (UCP) is the most common chronic neurological condition. The EU-funded AInCP project aims to develop AI-assisted clinical decision support tools (DST) capable of providing personalised functional diagnosis, upper-limb (UpL) assessment and home-based interventions for children with UCP. The project will establish a clinical diagnosis and prognosis methodology for personalised UCP treatment using a multimodal approach comprising clinical phenotyping, advanced brain imaging and real-time monitoring of UpL function. At the same time, it will develop a personalised home-based treatment strategy based on advanced information and AI technologies. The AInCP goal is to validate personalised diagnostic and rehabilitative DST via extensive observational and rehabilitation studies.

Link: https://cordis.europa.eu/project/id/101057309