

EXUS as partner
AI-BASED PERSONALISED CARE FOR RESPIRATORY DISEASE USING MULTI-MODAL DATA IN PATIENT STRATIFICATION
AI4LUNGS is a three-and-a-half-year European research and innovation project with the primary objective of creating and validating AI tools and computational models to improve patient stratification, ultimately optimizing the diagnosis and treatment of respiratory diseases - Interstitial Lung Diseases (ILDs), Infectious Diseases and cancer.
It aims to support physicians in their decision-making during the diagnosis and treatment processes, streamlining and digitalising procedures, potentially saving time, and reducing the need for numerous examinations compared to traditional approaches. The feasibility and efficiency of the developed solutions will be evaluated in 2 pilots.
The project is in the domain of the tools and technologies for a healthy society, on developing new AI tools, using different types of data collected in clinical practice, e.g., lung auscultation, X-ray, CT, PET, clinical analysis, demographic, and clinical data.
1/1/2024-30/06/2027
Project duration
6,937,771.25
Overall Budget
HORIZON-HLTH-2022-TOOL-12-01-two-stage
Topic
Impact
AI4LUNGS is on a mission to contribute to healthier communities by providing doctors with better tools to personalise treatment for lung diseases. The project aims to potentially increase the quality of patient care and reduce associated costs. This impact will be generated by fostering research with high scientific impact publications and open science, creating new research communities in lung diseases, involving policymakers in promoting the use of AI tools in decision-making for these diseases, and recommending new guidelines as relevant for the new technologies. Moreover, as the project progresses, there are plans to initiate a stakeholder forum and design and implement roll-out strategies that will guarantee the project's continuity beyond the implementation period.
INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA (INESC TEC)
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN
FORSCHUNG EV (FhG)
RHEINLAND-PFALZISCHE TECHNISCHE UNIVERSITAT (RPTU)
I3S - INSTITUTO DE INVESTIGACAO E INOVACAO EM SAUDE DA UNIVERSIDADE
DO PORTO (i3S)
SOMEKH CHAIKIN PARTNERSHIP (KPMG)
EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS (EXUS),
Partners
YONALINK LTD (YL)
REICHMAN UNIVERSITY (RU)
ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM
(AMC)
CENTRO HOSPITALAR DE VILA NOVA DE GAIA/ESPINHO EPE (Gaia)
MOR RESEARCH APPLICATIONS LTD (MOR)
FOLKEHELSEINSTITUTTET (NIPH)
FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALLHEBRON (VHIO) (VHIO)
MINISTRY OF HEALTH (GMOH)
FUTURE NEEDS MANAGEMENT CONSULTING LTD (FN)
DELOITTE CONSULTING GMBH (Deloitte)
TIME.LEX (TLX)
UNIVERSITA COMMERCIALE LUIGI BOCCONI (UB)