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

Información del proyecto

AI4LUNGS

Identificador del acuerdo de subvención: 101080756

DOI

10.3030/101080756

Fecha de la firma de la CE 7 Diciembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 30 Junio 2027

Financiado con arreglo a

• Health

Coste total

€ 6 937 771,25

Aportación de la UE

€ 6 937 771,25

Coordinado por

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Thesis and dissertations (13)

Evaluating Different Inputs for Lung Cancer Classification

Autores: Gabriel Colonese, Joana Sousa, Tania Pereira, Helder Oliveira
Publicado en: 2026
Editor: University of Porto

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

Autores: Mariana Santos, Tânia Melo, João Pedrosa
Publicado en: 2026
Editor: University of Porto

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

Autores: Ubaldo Senete, Joana Sousa, Margarida Gouveia, Miguel Romariza, Tania Pereira, Helder Oliveira
Publicado en: 2026
Editor: University of Porto

Generalization and Fairness of Deep Learning Models for Lung Cancer Screening

Autores: Gonçalo Melo, Margarida Gouveia, Tania Pereira, Helder Oliveira
Publicado en: 2026
Editor: University of Porto

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

Autores: Sinan Riedel
Publicado en: 2025
Editor: Rhineland-Palatine Technical University Kaiserslautern-Landau

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

Autores: Pedro Martins, Margarida Gouveira, Tania Pereira, Helder Oliveira
Publicado en: 2026
Editor: University of Porto

Extending entropic learning methods to categorical features

Autores: Paul Gabelmann
Publicado en: 2025
Editor: RPTU - Kaiserslautern

Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis

Autores: Francesca Saglimbani, João Pedrosa, Giuseppe Averta
Publicado en: 2026
Editor: Politecnico di Torino

Imaging-Based Progression Prediction in Interstitial Lung Disease

Autores: Francesco Passiatore, Tânia Melo, Giuseppe Averta
Publicado en: 2026
Editor: Politecnico di Torino

Handling missing information with entropic learning methods

Autores: Henry Wißman
Publicado en: 2025
Editor: RPTU - Kaiserslautern

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

Autores: Jose Machado, Eduardo Rodrigues, Tania Pereira, Helder Oliveira
Publicado en: 2026
Editor: University of Porto

Predicting Mortality in Idiopathic Pulmonary Fibrosis through Morphometric Analysis

Autores: Carolina Alves, Joseph Jacobs, João Pedrosa
Publicado en: 2026
Editor: University of Porto

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

Autores: Aniket Anil Surve
Publicado en: 2025
Editor: Rhineland-Palatine Technical University Kaiserslautern-Landau

Conference proceedings (6)

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

Autores: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Publicado en: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026
Editor: IEEE
DOI: 10.1109/BIBM66473.2025.11356908

Using a Multi-Dataset Evaluation for EGFR Mutation Prediction

Autores: Madalena Pereira, Tânia Mendes, Venceslau Hespanhol, Hélder P. Oliveira, Tania Pereira
Editor: RECPAD

Incremental Learning with Experience Replay for Lung Segmentation in CT Scans

Autores: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Editor: RECPAD

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

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

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

Autores: Luis Fernandes, Tania Pereira, Helder P. Oliveira
Editor: MMIA

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

Autores: Joana Vale Sousa, Hélder P. Oliveira, Tania Pereira
Publicado en: 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE), 2025
Editor: IEEE
DOI: 10.1109/BIBE66822.2025.00039

Peer reviewed articles (3)

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

Autores: Illia Horenko
Publicado en: Communications in Applied Mathematics and Computational Science, Edición 20, 2025, ISSN 2157-5452
Editor: Mathematical Sciences Publishers
DOI: 10.2140/CAMCOS.2025.20.231

Entropy

Autores: Davide Bassetti; Lukáš Pospíšil; Illia Horenko
Publicado en: Entropy, Edición 26, 2024, ISSN 1099-4300
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/E26070553

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

Publicado en: Pulmonology, Edición 32, 2026, ISSN 2531-0429
Editor: Informa UK Limited
DOI: 10.1080/25310429.2026.2647637