Artificial Intelligence for early detection of non-communicable disease risk in people with breast cancer

Informazioni relative al progetto

ARTILLERY

ID dell’accordo di sovvenzione: 101080983

DOI

10.3030/101080983

Data della firma CE 15 Aprile 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2028

Finanziato da

• Health

Costo totale

€ 5 704 756,25

Contributo UE

€ 5 704 756,25

Coordinato da

UNIVERSITAIR MEDISCH CENTRUM UTRECHT
Netherlands

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

Documents, reports (6)

ARTILLERY Project Handbook

Project handbook including templates, procedures, meetings and planning of activities

ARTILLERY-Manuals

Recommendations for management of patients at increased AI detected risk of chronic diseases

Real World Evidence governance

Under the consortium agreement, clear data access rules and data transfer agreement rules will be outlined

Dissemination, Exploitation and Communication Plan

First draft of DECP created by the consortium

Stakeholder Map for dissemination, exploitation and communication

First stakeholder map created

Literature review and overview of ethical-legal landscape

A systematic review of the literature and a description and analysis of the current AI normative framework

Websites, patent fillings, videos etc. (1)

ARTILLERY website

First version of ARTILLERY website created

Pubblicazioni

Other (1)

Metrics Revolutions: Groundbreaking insights into the implementation of metrics for biomedical image segmentation

Autori: Gašper Podobnik and Tomaž Vrtovec
Pubblicato in: arXiv, 2024
Editore: arXiv
DOI: 10.48550/arXiv.2410.02630

Conference proceedings (3)

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Autori: Gašper Podobnik, Tomaž Vrtovec
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72114-4_30

Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models

Autori: Gašper Podobnik, Domen Ocepek, Luka Škrlj, Tomaž Vrtovec
Pubblicato in: Lecture Notes in Computer Science, Shape in Medical Imaging, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-75291-9_5

Zgodnje odkrivanje tveganja nenalezljivih bolezni pri bolnikih z rakom dojk na podlagi umetne inteligence (projekt ARTILLERY) [in Slovenian language]

Autori: Tomaž Vrtovec and Luka Škrlj, on behalf of the ARTILLERY Consortium
Pubblicato in: Proceedings of the 35th Slovenian Oncology Weekend, 2024
Editore: Institute of Oncology Ljubljana