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

Informazioni relative al progetto

AI4LUNGS

ID dell’accordo di sovvenzione: 101080756

DOI

10.3030/101080756

Data della firma CE 7 Dicembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 30 Giugno 2027

Finanziato da

• Health

Costo totale

€ 6 937 771,25

Contributo UE

€ 6 937 771,25

Coordinato da

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Thesis and dissertations (13)

Evaluating Different Inputs for Lung Cancer Classification

Autori: Gabriel Colonese, Joana Sousa, Tania Pereira, Helder Oliveira
Pubblicato in: 2026
Editore: University of Porto

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

Autori: Mariana Santos, Tânia Melo, João Pedrosa
Pubblicato in: 2026
Editore: University of Porto

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

Autori: Ubaldo Senete, Joana Sousa, Margarida Gouveia, Miguel Romariza, Tania Pereira, Helder Oliveira
Pubblicato in: 2026
Editore: University of Porto

Generalization and Fairness of Deep Learning Models for Lung Cancer Screening

Autori: Gonçalo Melo, Margarida Gouveia, Tania Pereira, Helder Oliveira
Pubblicato in: 2026
Editore: University of Porto

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

Autori: Sinan Riedel
Pubblicato in: 2025
Editore: Rhineland-Palatine Technical University Kaiserslautern-Landau

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

Autori: Pedro Martins, Margarida Gouveira, Tania Pereira, Helder Oliveira
Pubblicato in: 2026
Editore: University of Porto

Extending entropic learning methods to categorical features

Autori: Paul Gabelmann
Pubblicato in: 2025
Editore: RPTU - Kaiserslautern

Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis

Autori: Francesca Saglimbani, João Pedrosa, Giuseppe Averta
Pubblicato in: 2026
Editore: Politecnico di Torino

Imaging-Based Progression Prediction in Interstitial Lung Disease

Autori: Francesco Passiatore, Tânia Melo, Giuseppe Averta
Pubblicato in: 2026
Editore: Politecnico di Torino

Handling missing information with entropic learning methods

Autori: Henry Wißman
Pubblicato in: 2025
Editore: RPTU - Kaiserslautern

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

Autori: Jose Machado, Eduardo Rodrigues, Tania Pereira, Helder Oliveira
Pubblicato in: 2026
Editore: University of Porto

Predicting Mortality in Idiopathic Pulmonary Fibrosis through Morphometric Analysis

Autori: Carolina Alves, Joseph Jacobs, João Pedrosa
Pubblicato in: 2026
Editore: University of Porto

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

Autori: Aniket Anil Surve
Pubblicato in: 2025
Editore: Rhineland-Palatine Technical University Kaiserslautern-Landau

Conference proceedings (6)

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

Autori: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Pubblicato in: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026
Editore: IEEE
DOI: 10.1109/BIBM66473.2025.11356908

Using a Multi-Dataset Evaluation for EGFR Mutation Prediction

Autori: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Editore: RECPAD

Incremental Learning with Experience Replay for Lung Segmentation in CT Scans

Autori: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Editore: RECPAD

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

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

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

Autori: Luis Fernandes, Tania Pereira, Helder P. Oliveira
Editore: MMIA

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

Autori: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Pubblicato in: 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE), 2025
Editore: IEEE
DOI: 10.1109/BIBE66822.2025.00039

Peer reviewed articles (3)

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

Autori: Illia Horenko
Pubblicato in: Communications in Applied Mathematics and Computational Science, Numero 20, 2025, ISSN 2157-5452
Editore: Mathematical Sciences Publishers
DOI: 10.2140/CAMCOS.2025.20.231

Entropy

Autori: Davide Bassetti; Lukáš Pospíšil; Illia Horenko
Pubblicato in: Entropy, Numero 26, 2024, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/E26070553

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

Pubblicato in: Pulmonology, Numero 32, 2026, ISSN 2531-0429
Editore: Informa UK Limited
DOI: 10.1080/25310429.2026.2647637