BioMedAI TWINNING

Informazioni relative al progetto

BioMedAI TWINNING

ID dell’accordo di sovvenzione: 101079183

DOI

10.3030/101079183

Progetto chiuso

Data della firma CE 12 Luglio 2022

Data di avvio 1 Novembre 2022

Data di completamento 31 Ottobre 2025

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 1 495 575,00

Contributo UE

€ 1 495 575,00

Coordinato da

Masarykova univerzita
Czechia

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 (14)

Policy paper on trustworthy AI

Policy paper on trustworthy AI, focusing on aspects of how trustworthiness of AI methods can be achieved using XAI, trustworthy validation and other approaches. Developed by T5.4.

Training materials for data management and efficient data processing for sensitive data

Training materials for data management and efficient data processing for sensitive data developed in collaboration of tasks T3.2, T3.3, T3.4 and T3.5.

Lists of attendees of the trainings, workshops and summer school WP3

Lists of attendees of the trainings, workshops and summer school, organized by WP3 (summer school being co-organized by WP3 and WP4). Revised in M16 and M36.

PEDR evaluation report and outlook beyond the project

Evaluation report of Plan for Dissemination and Exploitation of Results (D5.1) and plan for expected dissemination and exploitation past the rutime of the project. Coordinated by T5.1 in collaboration with all the tasks of WP5.

List of attendees of the training on grant application preparation

List of attendees of the training on grant application preparation organized by T1.3.

Lists of attendees of the trainings and workshops WP4

Lists of attendees of the trainings and workshops organized by WP4. Revised in M16 and M36.

Lists of the SEAB and the steering committee members

Deliverable provides list of members of Scientific and Advisory Board and of executive steering committe members of the BioMedAI center, developed in T1.1.

Popularization package on AI in healthcare

Package of outreach/communication of popularization of AI and XAI methods in healthcare for various stakeholders and target groups. Maintained by T5.2.

Training material for WSI annotation and metadata stewardship summer school

Training material for WSI annotations and metadata stewardship developed by T4.3 in collaboration with T4.1 and T4.2.

A template for the internal projects

Template for preparation of project proposal developed in T1.3

Lists of attendees of the trainings, workshops and summer school WP2

Lists of attendees of the trainings, workshops and summer school, organized by WP2. Revised in M12, M24 and M36.

Training materials for XAI summer school on medical data

Training materials for XAI summer school on medical data developed in T2.3 in collaboration with T2.1 and T2.2.

Plan for dissemination and exploitation of results

Plan for dissemination and exploitation of results coordinated by T5.1 in collaboration with all the tasks of WP5.. Revised in M6 and M24.

Data management plan of the project

Data management plan (DMP) of the project. As the project does not generate data as such, the DMP will focus on other outputs - open-source software, training materials, etc. Revised in M3, M16 and M36.

Websites, patent fillings, videos etc. (1)

Educational XAI toolbox

Educational XAI toolbox developed as a part of T2.3.

Pubblicazioni

Peer reviewed articles (10)

Is human oversight to AI systems still possible?

Autori: Andreas Holzinger, Kurt Zatloukal, Heimo Müller
Pubblicato in: New Biotechnology, Numero 85, 2025, ISSN 1871-6784
Editore: Elsevier BV
DOI: 10.1016/J.NBT.2024.12.003

Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative

Autori: Norman Zerbe; Lars Ole Schwen; Christian Geißler; Katja Wiesemann; Tom Bisson; Peter Boor; Rita Carvalho; Michael Franz; Christoph Jansen; Tim-Rasmus Kiehl; Björn Lindequist; Nora Charlotte Pohlan;
Pubblicato in: Journal of Pathology Informatics, 2024, ISSN 2229-5089
Editore: Elsevier
DOI: 10.48550/ARXIV.2401.09450

Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making

Autori: Ceca Kraišniković, Robert Harb, Markus Plass, Wael Al Zoughbi, Andreas Holzinger, Heimo Müller
Pubblicato in: Engineering Applications of Artificial Intelligence, Numero 139, 2025, ISSN 0952-1976
Editore: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2024.109561

Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability

Autori: Matej Gallo, Vojtěch Krajňanský, Rudolf Nenutil, Petr Holub, Tomáš Brázdil
Pubblicato in: New Biotechnology, Numero 78, 2024, ISSN 1871-6784
Editore: Elsevier BV
DOI: 10.1016/J.NBT.2023.09.008

On the disagreement problem in Human-in-the-Loop federated machine learning

Autori: Matthias Huelser, Heimo Mueller, Natalia Díaz-Rodríguez, Andreas Holzinger
Pubblicato in: Journal of Industrial Information Integration, Numero 45, 2025, ISSN 2452-414X
Editore: Elsevier BV
DOI: 10.1016/J.JII.2025.100827

Ethical ChatGPT: Concerns, Challenges, and Commandments

Autori: Jianlong Zhou; Heimo Müller; Andreas Holzinger; Fang Chen
Pubblicato in: Electronics, 2024, ISSN 2079-9292
Editore: Multidisciplinary Digital Publishing Institute
DOI: 10.48550/ARXIV.2305.10646

Privacy risks of whole-slide image sharing in digital pathology

Autori: Petr Holub, Heimo Müller, Tomáš Bíl, Luca Pireddu, Markus Plass, Fabian Prasser, Irene Schlünder, Kurt Zatloukal, Rudolf Nenutil, Tomáš Brázdil
Pubblicato in: Nature Communications, Numero 14, 2023, ISSN 2041-1723
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41467-023-37991-Y

xOpat: eXplainable Open Pathology Analysis Tool

Autori: J. Horák, K. Furmanová, B. Kozlíková, T. Brázdil, P. Holub, M. Kačenga, M. Gallo, R. Nenutil, J. Byška, V. Rusňák
Pubblicato in: Computer Graphics Forum, Numero 42, 2023, ISSN 0167-7055
Editore: Wiley
DOI: 10.1111/CGF.14812

Provenance of specimen and data – A prerequisite for AI development in computational pathology

Autori: Markus Plass, Rudolf Wittner, Petr Holub, Francesca Frexia, Cecilia Mascia, Matej Gallo, Heimo Müller, Jörg Geiger
Pubblicato in: New Biotechnology, Numero 78, 2024, ISSN 1871-6784
Editore: Elsevier BV
DOI: 10.1016/J.NBT.2023.09.006

AI for life: Trends in artificial intelligence for biotechnology

Autori: Andreas Holzinger, Katharina Keiblinger, Petr Holub, Kurt Zatloukal, and Heimo Müller
Pubblicato in: New Biotechnology, 2023, ISSN 1871-6784
Editore: Elsevier BV
DOI: 10.1016/J.NBT.2023.02.001

Conference proceedings (1)

Beyond Occlusion: In Search for Near Real-Time Explainability of CNN-Based Prostate Cancer Classification

Autori: Martin Krebs, Jan Obdržálek, Vít Musil, Tomáš Brázdil
Pubblicato in: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
Editore: IEEE
DOI: 10.1109/ISBI60581.2025.10980802