Type of project: National | Start date: 14/12/2022 | End date: 19/05/2025
A novel eXplainable Artificial intelligence approach for low back pain phenotyping and outcome prediction: towards a patient-centric spine care model.
XAI-CARE project aims to develop and demonstrate the clinical use of a novel interactive, AI-based platform for the personalized care of low back pain (LBP), a societal challenge affecting millions of people in Europe and worldwide.
The specific aims are to:
- validate a platform for the physician to estimate the risk of LBP onset, predict outcomes and foster personalized LBP care based on the patients phenotypes
- develop a platform for patients for the evaluation of the progression of LBP and the effect of
treatments - test the platforms in the real-world clinical setting and compare with the standard cares

Acronym:
XAI-CARE
Funding programme:
PNRR - Next Generation EU
Funding body:
MUR - European Union
Grant agreement:
PNRR: M6/C2_CALL 2022 Full Proposal - CUP B53C22009290001
Status:
Ongoing
CNR-ILC role:
Beneficiary
Project coordinator:
Gianluca Vadalà (Fondazione Policlinico Universitario Campus Bio-Medico)
CNR-ILC Research Unit Chair:
Dominique Pierina Brunato
Staff:
Felice Dell'Orletta
Giulia Venturi
Agnese Bonfigli
Cristiano Ciaccio
Ruben Piperno
Noemi Terreni