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

Project Information

AI4LUNGS

Grant agreement ID: 101080756

DOI

10.3030/101080756

EC signature date 7 December 2023

Start date 1 January 2024

End date 30 June 2027

Funded under

• Health

Total cost

€ 6 937 771,25

EU contribution

€ 6 937 771,25

Coordinated by

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): Gabriel Colonese, Joana Sousa, Tania Pereira, Helder Oliveira
Published in: 2026
Publisher: University of Porto

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

Author(s): Mariana Santos, Tânia Melo, João Pedrosa
Published in: 2026
Publisher: University of Porto

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

Author(s): Ubaldo Senete, Joana Sousa, Margarida Gouveia, Miguel Romariza, Tania Pereira, Helder Oliveira
Published in: 2026
Publisher: University of Porto

Generalization and Fairness of Deep Learning Models for Lung Cancer Screening

Author(s): Gonçalo Melo, Margarida Gouveia, Tania Pereira, Helder Oliveira
Published in: 2026
Publisher: University of Porto

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

Author(s): Sinan Riedel
Published in: 2025
Publisher: Rhineland-Palatine Technical University Kaiserslautern-Landau

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

Author(s): Pedro Martins, Margarida Gouveira, Tania Pereira, Helder Oliveira
Published in: 2026
Publisher: University of Porto

Extending entropic learning methods to categorical features

Author(s): Paul Gabelmann
Published in: 2025
Publisher: RPTU - Kaiserslautern

Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis

Author(s): Francesca Saglimbani, João Pedrosa, Giuseppe Averta
Published in: 2026
Publisher: Politecnico di Torino

Imaging-Based Progression Prediction in Interstitial Lung Disease

Author(s): Francesco Passiatore, Tânia Melo, Giuseppe Averta
Published in: 2026
Publisher: Politecnico di Torino

Handling missing information with entropic learning methods

Author(s): Henry Wißman
Published in: 2025
Publisher: RPTU - Kaiserslautern

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

Author(s): Jose Machado, Eduardo Rodrigues, Tania Pereira, Helder Oliveira
Published in: 2026
Publisher: University of Porto

Predicting Mortality in Idiopathic Pulmonary Fibrosis through Morphometric Analysis

Author(s): Carolina Alves, Joseph Jacobs, João Pedrosa
Published in: 2026
Publisher: University of Porto

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

Author(s): Aniket Anil Surve
Published in: 2025
Publisher: Rhineland-Palatine Technical University Kaiserslautern-Landau

Conference proceedings (6)

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

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

Using a Multi-Dataset Evaluation for EGFR Mutation Prediction

Author(s): Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Publisher: RECPAD

Incremental Learning with Experience Replay for Lung Segmentation in CT Scans

Author(s): Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Publisher: RECPAD

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

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

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

Author(s): Luis Fernandes, Tania Pereira, Helder P. Oliveira
Publisher: MMIA

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

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

Peer reviewed articles (3)

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

Author(s): Illia Horenko
Published in: Communications in Applied Mathematics and Computational Science, Issue 20, 2025, ISSN 2157-5452
Publisher: Mathematical Sciences Publishers
DOI: 10.2140/CAMCOS.2025.20.231

Entropy

Author(s): Davide Bassetti; Lukáš Pospíšil; Illia Horenko
Published in: Entropy, Issue 26, 2024, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/E26070553

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

Published in: Pulmonology, Issue 32, 2026, ISSN 2531-0429
Publisher: Informa UK Limited
DOI: 10.1080/25310429.2026.2647637