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

Peer reviewed articles (3)

Journal of Endovascular Therapy

Autori: Roosmarie Jessen; Kak Khee Yeung; M. Corrette Ploem
Pubblicato in: Journal of Endovascular Therapy, ISSN 1526-6028
Editore: Alliance Communications Group
DOI: 10.1177/15266028251388730

Op het snijvlak van technologie, zorg en recht: aansprakelijkheid van het ziekenhuis bij gebruik van besluitvormingsalgoritmen

Autori: R. Jessen
Pubblicato in: Tijdschrift voor Gezondheidsrecht, Numero 48, 2025, ISSN 0165-0874
Editore: Koninklijke Boom uitgevers
DOI: 10.5553/TVGR/016508742024048001005

European Journal of Health Law

Autori: Jessen, Ploem
Pubblicato in: European Journal of Health Law, ISSN 0929-0273
Editore: Martinus Nijhoff Publishers
DOI: 10.1163/15718093-BJA10143

Other (6)

Attitudes toward AI-generated risk prediction in patients with early breast cancer: an international multicenter survey

Autori: Frederik Voigt Carstensen; Sofie A.M. Gernaat; Friederike Banning; Eva Batista; Desiree Van den Bongard; Nadia Harbeck; Marle Hattink; Lorenzo Livi; Icro Meattini; Karin Meijer; Jens Petersen; Ivica Ratosa; Helena Verkooijen; Ivan Richter Vogelius; Maja Vestmø Maraldo
Pubblicato in: Acta Oncologica, 2025, ISSN 4085-9704
Editore: MJS Publishing
DOI: 10.2340/1651-226X.2025.44030

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

MeshMetrics: A precise implementation of distance-based image segmentation metrics

Autori: Gašper Podobnik, Tomaž Vrtovec
Editore: arXiV
DOI: 10.48550/ARXIV.2509.05670

Understanding implementation pitfalls of distance-based metrics for image segmentation

Autori: Podobnik, Gasper; Vrtovec, Tomaz
Pubblicato in: 2024
Editore: ArXiv
DOI: 10.48550/ARXIV.2410.02630

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

Autori: Iason Skylitsis; Dimitrios Karkalousos; Ivana Išgum
Pubblicato in: 2026
Editore: arXiV
DOI: 10.48550/ARXIV.2605.20405

Acta Oncologica

Autori: Frederik Voigt Carstensen, Belinda Bøgh Irankunda, Eva Batista, Desiree Van den Bongard, Tanja Spanic, Sofie A.M. Gernaat, Helena Verkooijen, Maja Vestmø Maraldo
Pubblicato in: Acta Oncologica, Numero 65, 2026
Editore: MJS publishing
DOI: 10.2340/1651-226X.2026.45901

Conference proceedings (6)

Introducing cosine similarity into the loss function: application to 3D vertebra segmentation

Autori: Luka Škrlj, Tomaž Vrtovec
Pubblicato in: Medical Imaging 2025: Image Processing, 2025
Editore: SPIE
DOI: 10.1117/12.3047157

Transformer-Based Instance Detection in 3D Medical Images

Autori: Luka Škrlj, Samuel Kadoury, Tomaž Vrtovec
Pubblicato in: Lecture Notes in Computer Science, Applications of Medical Artificial Intelligence, 2026
Editore: Springer Nature Switzerland

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

Centerline dice metric implementation is not streamlined

Autori: Gašper Podobnik, Tomaž Vrtovec
Pubblicato in: Medical Imaging 2025: Image Processing, 2025
Editore: SPIE
DOI: 10.1117/12.3047456

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