AI-BASED PERSONALISED CARE FOR RESPIRATORY DISEASE USING MULTI-MODAL DATA IN PATIENT STRATIFICATION

Informations projet

AI4LUNGS

N° de convention de subvention: 101080756

DOI

10.3030/101080756

Date de signature de la CE 7 Decembre 2023

Date de début 1 Janvier 2024

Date de fin 30 Juin 2027

Financé au titre de

• Health

Coût total

€ 6 937 771,25

Contribution de l’UE

€ 6 937 771,25

Coordonné par

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Portugal

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (2)

Dedicated public project website

This deliverable represents the website designed which will be connected with social media to communicate project achievements, build a community and increase engagement

DERA® Report (1st)

This initial report identifies the digital ethical risks of the AI4Lung

Documents, reports (3)

Dissemination & Communication Plan

This report will present the disseminaion and comunication plan

AI4Lungs personal data protection manual and Regulatory Acceptability Plan (1st)

This initial report will represents the personal data protection manual and the Regulatory Acceptability Plan prepared to EMA in order to receive advice regarding the qualification of the AI4Lungs system for use in hospitals

Kick-off meeting

This report will demonstrate all activities conducted during the kick-off meeting

Data Management Plan (1)

Data management Plan (DMP) and Protection of Personal Data (POPD)

This deliverable will demonstrate the data management plan (DMP) and an initial set of requirements that will guide the process of data collection along the project.

Publications

Thesis and dissertations (13)

Evaluating Different Inputs for Lung Cancer Classification

Auteurs: Gabriel Colonese, Joana Sousa, Tania Pereira, Helder Oliveira
Publié dans: 2026
Éditeur: University of Porto

Semi-Supervised Learning for Interstitial Lung Disease Finding Segmentation in High-Resolution Computed Tomography

Auteurs: Mariana Santos, Tânia Melo, João Pedrosa
Publié dans: 2026
Éditeur: University of Porto

DicomLens: A Web-based Clinical Annotation and Visualization Tool for Medical Imaging

Auteurs: Ubaldo Senete, Joana Sousa, Margarida Gouveia, Miguel Romariza, Tania Pereira, Helder Oliveira
Publié dans: 2026
Éditeur: University of Porto

Generalization and Fairness of Deep Learning Models for Lung Cancer Screening

Auteurs: Gonçalo Melo, Margarida Gouveia, Tania Pereira, Helder Oliveira
Publié dans: 2026
Éditeur: University of Porto

Development of a communication interface for coherent remote use of a clinical decision support system

Auteurs: Sinan Riedel
Publié dans: 2025
Éditeur: Rhineland-Palatine Technical University Kaiserslautern-Landau

Multimodal Deep Learning for Lung Cancer Characterization using PET and CT Imaging

Auteurs: Pedro Martins, Margarida Gouveira, Tania Pereira, Helder Oliveira
Publié dans: 2026
Éditeur: University of Porto

Extending entropic learning methods to categorical features

Auteurs: Paul Gabelmann
Publié dans: 2025
Éditeur: RPTU - Kaiserslautern

Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis

Auteurs: Francesca Saglimbani, João Pedrosa, Giuseppe Averta
Publié dans: 2026
Éditeur: Politecnico di Torino

Imaging-Based Progression Prediction in Interstitial Lung Disease

Auteurs: Francesco Passiatore, Tânia Melo, Giuseppe Averta
Publié dans: 2026
Éditeur: Politecnico di Torino

Handling missing information with entropic learning methods

Auteurs: Henry Wißman
Publié dans: 2025
Éditeur: RPTU - Kaiserslautern

Semi-Supervised Lung Nodule Malignancy Classification using Visual Attibute Pseudo-Labels

Auteurs: Jose Machado, Eduardo Rodrigues, Tania Pereira, Helder Oliveira
Publié dans: 2026
Éditeur: University of Porto

Predicting Mortality in Idiopathic Pulmonary Fibrosis through Morphometric Analysis

Auteurs: Carolina Alves, Joseph Jacobs, João Pedrosa
Publié dans: 2026
Éditeur: University of Porto

Development of an analytic process for the usage data of a clinical decision support system

Auteurs: Aniket Anil Surve
Publié dans: 2025
Éditeur: Rhineland-Palatine Technical University Kaiserslautern-Landau

Conference proceedings (6)

Toward Generalizable Radiomics Models for EGFR Mutation Prediction: A Multi-Dataset Evaluation

Auteurs: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Publié dans: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026
Éditeur: IEEE
DOI: 10.1109/BIBM66473.2025.11356908

Using a Multi-Dataset Evaluation for EGFR Mutation Prediction

Auteurs: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Éditeur: RECPAD

Incremental Learning with Experience Replay for Lung Segmentation in CT Scans

Auteurs: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Éditeur: RECPAD

From Pixels to Pathways: AI-Based Approaches for Multimodal Lung Cancer Classification

Auteurs: Sofia Gonçalves, Joana Vale Sousa, Margarida Gouveia, Maria Amaro, Hélder P. Oliveira, Tania Pereira
Publié dans: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026
Éditeur: IEEE
DOI: 10.1109/BIBM66473.2025.11356482

A Two-Stage U-Net framework for Interactive Segmentation of lung nodules in CT Scans

Auteurs: Luis Fernandes, Tania Pereira, Helder P. Oliveira
Éditeur: MMIA

Incrementally Learning to Segment the Lungs: Similarities and Differences Across Institutions

Auteurs: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Publié dans: 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE), 2025
Éditeur: IEEE
DOI: 10.1109/BIBE66822.2025.00039

Peer reviewed articles (3)

Entropic perspective on AI resilience, data-minimal learning and optimal control

Auteurs: Illia Horenko
Publié dans: Communications in Applied Mathematics and Computational Science, Numéro 20, 2025, ISSN 2157-5452
Éditeur: Mathematical Sciences Publishers
DOI: 10.2140/CAMCOS.2025.20.231

Entropy

Auteurs: Davide Bassetti; Lukáš Pospíšil; Illia Horenko
Publié dans: Entropy, Numéro 26, 2024, ISSN 1099-4300
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/E26070553

XXXIII Congresso de Pneumologia do Norte e as XXXIX Jornadas Galaico Durienses: Posters

Publié dans: Pulmonology, Numéro 32, 2026, ISSN 2531-0429
Éditeur: Informa UK Limited
DOI: 10.1080/25310429.2026.2647637