A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer

Información del proyecto

INCISIVE

Identificador del acuerdo de subvención: 952179

DOI

10.3030/952179

Proyecto cerrado

Fecha de la firma de la CE 28 Mayo 2020

Fecha de inicio 1 Octubre 2020

Fecha de finalización 31 Marzo 2024

Financiado con arreglo a

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Coste total

€ 9 995 727,50

Aportación de la UE

€ 9 995 727,50

Coordinado por

MAGGIOLI SPA
Italy

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

Documents, reports (11)

First Dissemination Activities Report

Report on the dissemination activities carried out during the first reporting period

Clustering Events Proceedings and Raising Awareness Campaigns Results V1

Proceedings of the clustering events including relevant material eg presentations etc along with the strategy presentation and results of the campaign regarding the panEuropean repository of health images

Second Dissemination Activities Report

Report on the dissemination activities carried out during the second reporting period

INCISIVE Training Material

The material used for the training of INCISIVE users participating in pilot studies.

Evaluation of INCISIVE Blind Studies

Assessment of INCISIVE blind interventions, including feedback for the prototype developments.

Data Donation Legal Framework

Provides the guidelines and terms for data donors to participate in INCISIVE’s data providers ecosystem.

Evaluation of INCISIVE Interventional studies

Assessment of INCISIVE interventional studies, including recommendations for the future

Clustering Events Proceedings and Raising Awareness Campaigns Results V2

Proceedings of the clustering events, including relevant material (e.g. presentations etc.), along with the strategy presentation and results of the campaign regarding the pan-European repository of health images.

Best Practices for Wider Use and Applicability

Best practices, strategies and open challenges for the wide AI solutions adoption in medical imaging.

Standardization Suggestions

report describing the INCISIVE’s contribution to standards.

Final Dissemination Activities Report

Report on the dissemination activities carried out during the final reporting period.

Demonstrators, pilots, prototypes (3)

INCISIVE integrated Prototypes - Final Version

INCISIVE integrated prototypes for the pre-pilot validations and pilot studies.

INCISIVE Pan-European Repository of Health Images - Final Version

final version to be integrated to the final prototype and to be launched as a stand-alone system.

INCISIVE AI Toolbox, Data Analytics and User Services - Final Version

final version of the AI models, data analytics and user services incorporating feedback from the pilots.

Websites, patent fillings, videos etc. (1)

INCISIVE Web Presence

Description of the project website and social media accounts.

Open Research Data Pilot (2)

Final Data Management Report

This report will describe the research data generated in the project and how they will be published. In particular it will include (1) the data and data format, (2) Metadata content and format, (3) Policies for access, sharing and re-use, and (4) Long-term storage and data management.

Initial Data Management Plan

This report will describe the research data generated in the project and how they will be published In particular it will include 1 the data and data format 2 Metadata content and format 3 Policies for access sharing and reuse and 4 Longterm storage and data management

Publicaciones

Peer reviewed articles (12)

Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Autores: ESTHER CIARROCCHI; Emanuele Neri
Publicado en: European Radiology Experimental, Edición 25099280, 2022, ISSN 2509-9280
Editor: Springer
DOI: 10.1186/s41747-022-00281-1

QuantISH: RNA in situ hybridization image analysis framework for quantifying cell type-specific target RNA expression and variability

Autores: Jamalzadeh S, Häkkinen A, Andersson N, Huhtinen K, Laury A, Hietanen S, Hynninen J, Oikkonen J, Carpén O, Virtanen A, Hautaniemi S
Publicado en: Laboratory Investigation, Edición February 2022, 2022, ISSN 1530-0307
Editor: Springer Nature
DOI: 10.1038/s41374-022-00743-5

The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography.

Autores: Lazic I, Agullo F, Ausso S, Alves B, Barelle C, Berral JL, Bizopoulos P, Bunduc O, Chouvarda I, Dominguez D, Filos D, Gutierrez-Torre A, Hesso I, Jakovljević N, Kayyali R, Kogut-Czarkowska M, Kosvyra A, Lalas A, Lavdaniti M, Loncar-Turukalo T, Martinez-Alabart S, Michas N, Nabhani-Gebara S, Raptopoulos A, Roussakis Y, Stalika E, Symvoulidis C, Tsave O, Votis K, Charalambous A.
Publicado en: Applied Sciences, Edición August 2022, 2022, ISSN 2076-3417
Editor: MDPI
DOI: 10.3390/app12178755

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

Autores: Kondylakis, H., Kalokyri, V., Sfakianakis, S., Marias, K., Tsiknakis, M., Jimenez-Pastor, A., Camacho-Ramos, E., Blanquer, I., Segrelles, J. D., López-Huguet, S., Barelle, C., Kogut-Czarkowska, M., Tsakou, G., Siopis, N., Sakellariou, Z., Bizopoulos, P., Drossou, V., Lalas, A., Votis, K., Mallol, P., … Lekadir, K.
Publicado en: Eur Radiol Exp, 2023, ISSN 2509-9280
Editor: SpringerOpen
DOI: 10.1186/s41747-023-00336-x

Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?

Autores: Iman Hesso, Reem Kayyali, Lithin Zacharias, Andreas Charalambous, Maria Lavdaniti, Evangelia Stalika, Tarek Ajami, Wanda Acampa, Jasmina Boban, Shereen Nabhani Gebara
Publicado en: Journal of Cancer Policy, 2023, Página(s) Volume 39, 2024, 100457, ISSN 2213-5383
Editor: Elsevier BV
DOI: 10.1016/j.jcpo.2023.100457

Experiences of cancer survivors in Europe: Has anything changed? Can artificial intelligence offer a solution?

Autores: Iman Hesso; Reem Kayyali; Andreas Charalambous; Maria Lavdaniti; Evangelia Stalika; Maria Lelegianni; Shereen Nabhani-Gebara
Publicado en: Frontiers in Oncology, Edición 2234943X, 2022, ISSN 2234-943X
Editor: Frontiers Media S. A.
DOI: 10.3389/fonc.2022.888938

A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging

Autores: Protonotarios NE, Katsamenis I, Sykiotis S, Dikaios N, Kastis GA, Chatziioannou SN, Metaxas M, Doulamis N, Doulamis A.
Publicado en: Biomed Phys Eng Express, Edición February 2022, 2022, ISSN 2057-1976
Editor: Pub.Med.gov
DOI: 10.1088/2057-1976/ac53bd

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Autores: Luis Marti‑Bonmati, Dow‑Mu Koh, Katrine Riklund, Maciej Bobowicz, Yiannis Roussakis, Joan C. Vilanova, Jurgen J. Fütterer, Jordi Rimola, Pedro Mallol, Gloria Ribas, Ana Miguel, Manolis Tsiknakis, Karim Lekadir and Gianna Tsakou
Publicado en: Insights into Imaging, Edición 2022, 2022, ISSN 1869-4101
Editor: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01220-9

Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence

Autores: Iman Hesso, Reem Kayyali, Debbie-Rose Dolton, Kwanyoung Joo, Lithin Zacharias, Andreas Charalambous, Maria Lavdaniti, Evangelia Stalika, Tarek Ajami, Wanda Acampa, Jasmina Boban & Shereen Nabhani-Gebara
Publicado en: Radiation Oncology, 2023, ISSN 0360-3016
Editor: Elsevier BV
DOI: 10.1186/s13014-023-02351-z

H&E image analysis pipeline for quantifying morphological features

Autores: Valeria, Ariotta; Oskari, Lehtonen; Shams, Salloum; Giulia, Micoli; Kari, Lavikka; Ville, Rantanen; Johanna, Hynninen; Anni, Virtanen; Sampsa, Hautaniemi
Publicado en: Journal of Pathology Informatics, Vol 14, Iss , Pp 100339- (2023), Edición 1, 2023, ISSN 2153-3539
Editor: Elsevier
DOI: 10.1016/j.jpi.2023.100339

Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?

Autores: Prvulovic Bunovic N, Sveljo O, Kozic D, Boban J.
Publicado en: Frontiers in Oncology, Edición September 2021, 2021, ISSN 2234-943X
Editor: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.610354

Tensor-Based Learning for Detecting Abnormalities on Digital Mammograms

Autores: Ioannis N. Tzortzis; Agapi Davradou; Ioannis Rallis; Maria Kaselimi; Konstantinos Makantasis; Anastasios Doulamis; Nikolaos Doulamis
Publicado en: Diagnostics, Vol 12, Iss 10, p 2389 (2022), Edición 1, 2022, ISSN 2075-4418
Editor: Diagnosis
DOI: 10.3390/diagnostics12102389

Conference proceedings (9)

Information extraction from clinical records: an example for breast cancer

Autores: I. Lazic, N. Jakovljevic, J. Boban, I. Nosek and T. Loncar-Turukalo
Publicado en: IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022
Editor: IEEE Xplore
DOI: 10.1109/melecon53508.2022.9842995

CN9 Mapping the Functional Assessment of Cancer Therapy (FACT-G) in Greek patients with neoplasm: An interplay of statistical and bioinformatics approach

Autores: E. Stalika, K. Gavrilaki, I. Koziokos, I. Chouvarda, M. Lavdaniti
Publicado en: Annals of Oncology, 2022
Editor: Elsevier
DOI: 10.1016/j.annonc.2022.07.319

HealthMesh: An Architectural Framework for Federated Healthcare Data Management

Autores: Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutierrez-Torre, Oscar Romero
Publicado en: CEUR Workshop Proceedings. 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, 2024
Editor: CEUR Workshop Proceedings

A deep-learning based diagnostic framework for Breast Cancer.

Autores: Stavros Sykiotis, Ioannis Tzortzis, Aikaterini Angeli, Nikolaos Doulamis, and Dimitrios Kalogeras.
Publicado en: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '22), 2022
Editor: Association for Computing Machinery
DOI: 10.1145/3529190.3534769

Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

Autores: Berral JL, Aranda O, Dominguez JL, Torres J.
Publicado en: IPDPS 36th IEEE International Parallel & Distributed Processing Symposium, Workshop on Scalable Deep Learning (ScaDL)- IEEE Xplore, Edición October 2021 (Arxiv), May 2022 (Conference), 2021
Editor: IEEExplore Library
DOI: 10.48550/arxiv.2110.15884

Towards Data Integration for AI in Cancer Research

Autores: Kosvyra A, Filos D, Fotopoulos D, Olga T and Chouvarda I.
Publicado en: Annu Int Conf IEEE Eng Med Biol Soc, Edición November 2021, 2021
Editor: Pub.Med.gov
DOI: 10.1109/embc46164.2021.9629675

Towards Lung Cancer Staging via Μultipositional Radiomics and Machine Learning

Autores: Fotopoulos, D, Filos D, Xinou E, and Chouvarda I
Publicado en: In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023, ISBN 978-989-758-631-6
Editor: BIOSIGNALS
DOI: 10.5220/0011781500003414

Data Quality Check in Cancer Imaging Research: Deploying and Evaluating the DIQCT Tool

Autores: Alexandra Kosvyra; Dimitrios Filos; Dimitrios Fotopoulos; Olga Tsave; Ioanna Chouvarda
Publicado en: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Editor: IEEE Xplore
DOI: 10.1109/embc48229.2022.9871018

Combining Machine Learning and Network Analysis Pipelines: The Case of Microbiome and Metabolomics Data in Colorectal Cancer

Autores: Ntzioni E, Chouvarda I.
Publicado en: Stud Health Technol Inform, 2022
Editor: IOS Press
DOI: 10.3233/shti210965

Book chapters (1)

Anonymisation: The Trap for Biobanking (Part II)

Autores: Magdalena Kogut-Czarkowska
Publicado en: Springer, 2023, ISBN 978-3-031-42943-9
Editor: Springer
DOI: 10.1007/978-3-031-42944-6_4

Other (1)

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Autores: Lekadir, Karim; Osuala, Richard; Gallin, Catherine; Lazrak, Noussair; Kushibar, Kaisar; Tsakou, Gianna; Auss��, Susanna; Alberich, Leonor Cerd��; Marias, Kostas; Tsiknakis, Manolis; Colantonio, Sara; Papanikolaou, Nickolas; Salahuddin, Zohaib; Woodruff, Henry C; Lambin, Philippe; Mart��-Bonmat��, Luis
Publicado en: arXiv, Edición September 2021, 2021
Editor: arXiv
DOI: 10.48550/arxiv.2109.09658

Non-peer reviewed articles (2)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Autores: Lekadir, Karim; Feragen, Aasa; Fofanah, Abdul Joseph; Frangi, Alejandro F; Buyx, Alena; Emelie, Anais; Lara, Andrea; Porras, Antonio R; Chan, An-Wen; Navarro, Arcadi; Glocker, Ben; Botwe, Benard O; Khanal, Bishesh; Beger, Brigit; Wu, Carol C; Cintas, Celia; Langlotz, Curtis P; Rueckert, Daniel; Mzurikwao, Deogratias; Fotiadis, Dimitrios I; Zhussupov, Doszhan; Ferrante, Enzo; Meijering, Erik; Weick
Publicado en: arXiv, Edición 1, 2023, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2309.12325

Pseudonymization and anonymization of personal data in scientific research projects

Autores: Pseudonymization and anonymization of personal data in scientific research projects
Publicado en: KWARTALNIK PRAWO NOWYCH TECHNOLOGII, Edición July 2021, 2021, ISSN 2720-1600
Editor: C.H. Beck