AI powered Data Curation & Publishing Virtual Assistant
HORIZON.2.1HORIZON-RIAID: 101057062
EC Contribution
€77,206
Consortium Size
16 orgs
▶Summary
Integrated, high-quality personal health data (PHD) represents a potential wealth of knowledge for healthcare systems, but there is no reliable conduit for this data to become interoperable, AI-ready and reuse-ready at scale across institutions, at national and EU level. AIDAVA will fill this gap by prototyping and testing an AI-powered, virtual assistant maximizing automation of data curation & publishing of unstructured and structured, heterogeneous data. The assistant includes a backend with a library of AI-based data curation tools and a frontend based on human-AI interaction modules that will help users when automation is not possible, while adapting to users? preferences. The interdisciplinary team of the consortium will develop and test two versions of this virtual assistant with hospitals and emerging personal data intermediaries, around breast cancer patient registries and longitudinal health records for cardio-vascular patients, in three languages. The team will work around four technology pillars: 1) automation of quality enhancement and FAIRification of collected health data, in compliance with EU data privacy; 2) knowledge graphs with ontology-based standards as universal representation, to increase interoperability and portability; 3) deep learning for information extraction from narrative content; and 4) AI-generated explanations during the process to increase users? confidence. By increasing automation of data quality enhancement, AIDAVA will decrease the workload of clinical data stewards; by providing high-quality data, AIDAVA will improve the effectiveness of clinical care and support clinical research. In the long-term, AIDAVA has the potential to democratise participation in data curation & publishing by citizens/patients leading to overall savings in health care costs (through disease prevention, early diagnosis, personalized medicine) and supporting delivery of the European Health Data Space.
Consortium (16)
🇳🇱 UNIVERSITEIT MAASTRICHTNL
coordinator🇩🇪 AVERBIS GMBHDE
partner🇧🇪 B!LOBABE
partner🇪🇸 DFP Research SOCIEDAD LIMITADAES
partner🇬🇧 DIGI.ME LIMITEDGB
partner🇷🇴 EGNOSIS SRLRO
partner🇩🇪 EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBHDE
partner🇧🇪 EUROPEAN CANCER PATIENT COALITIONBE
partner🇧🇪 EUROPEAN HEART NETWORK AISBLBE
partner🇧🇪 KATHOLIEKE UNIVERSITEIT LEUVENBE
partner🇦🇹 MEDIZINISCHE UNIVERSITAT GRAZAT
partner🇨🇭 MIDATA GenossenschaftCH
partner🇧🇬 ONTOTEXT ADBG
partner🇭🇷 RESEARCH AND INNOVATION SERVICES DOO ZA USLUGEHR
partner🇪🇪 SIHTASUTUS POHJA-EESTI REGIONAALHAIGLAEE
partner🇧🇪 THE EUROPEAN INSTITUTE FOR INNOVATION THROUGH HEALTH DATABE
partnerProject Results (44)
Source: CORDIS, the EU research results database.
▶Publications (21)
An automated toolbox for microcalcification cluster modeling for mammographic imaging
Astrid Van Camp, Eva Punter, Katrien Houbrechts, Lesley Cockmartin, Renate Prevos, Nicholas W. Marshall, Henry C. Woodruff, Philippe Lambin, Hilde Bosmans
Cancers
Yousif Widaatalla; Tom Wolswijk; Muhammad Danial Khan; Iva Halilaj; Klara Mosterd; Henry C. Woodruff; Philippe Lambin
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
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; Weicken, Eva; González, Fabio A; Asselbergs, Folkert W; Prior, Fred; Krestin, Gabriel P; Collins, Gary; Tegenaw, Geletaw S; Kaissis, Georgios; Misuraca, Gianluca; Tsakou, Gianna; Dwivedi, Girish; Kondylakis, Haridimos; Jayakody, Harsha; Woodruf, Henry C; Mayer, Horst Joachim; Aerts, Hugo JWL; Walsh, Ian; Chouvarda, Ioanna; Buvat, Irène; Tributsch, Isabell; Rekik, Islem; Duncan, James; Kalpathy-Cramer, Jayashree; Zahir, Jihad; Park, Jinah; Mongan, John; Gichoya, Judy W; Schnabel, Julia A; Kushibar, Kaisar; Riklund, Katrine; Mori, Kensaku; Marias, Kostas; Amugongo, Lameck M; Fromont, Lauren A; Maier-Hein, Lena; Alberich, Leonor Cerdá; Rittner, Leticia; Phiri, Lighton; Marrakchi-Kacem, Linda; Donoso-Bach, Lluís; Martí-Bonmatí, Luis; Cardoso, M Jorge; Bobowicz, Maciej; Shabani, Mahsa; Tsiknakis, Manolis; Zuluaga, Maria A; Bielikova, Maria; Fritzsche, Marie-Christine; Camacho, Marina; Linguraru, Marius George; Wenzel, Markus; De Bruijne, Marleen; Tolsgaard, Martin G; Ghassemi, Marzyeh; Ashrafuzzaman, Md; Goisauf, Melanie; Yaqub, Mohammad; Abadía, Mónica Cano; Mahmoud, Mukhtar M E; Elattar, Mustafa; Rieke, Nicola; Papanikolaou, Nikolaos; Lazrak, Noussair; Díaz, Oliver; Salvado, Olivier; Pujol, Oriol; Sall, Ousmane; Guevara, Pamela; Gordebeke, Peter; Lambin, Philippe; Brown, Pieta; Abolmaesumi, Purang; Dou, Qi; Lu, Qinghua; Osuala, Richard; Nakasi, Rose; Zhou, S Kevin; Napel, Sandy; Colantonio, Sara; Albarqouni, Shadi; Joshi, Smriti; Carter, Stacy; Klein, Stefan; Petersen, Steffen E; Aussó, Susanna; Awate, Suyash; Raviv, Tammy Riklin; Cook, Tessa; Mutsvangwa, Tinashe E M; Rogers, Wendy A; Niessen, Wiro J; Puig-Bosch, Xènia; Zeng, Yi; Mohammed, Yunusa G; Aquino, Yves Saint James; Salahuddin, Zohaib; Starmans, Martijn P A
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence
Wei Sun, Mingxiao Li, Damien Sileo, Jesse Davis, Marie-Francine Moens
Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography
Astrid Van Camp, Henry C. Woodruff, Lesley Cockmartin, Marc Lobbes, Michael Majer, Corinne Balleyguier, Nicholas W. Marshall, Hilde Bosmans, Philippe Lambin
Improving Patient Engagement in Phase 2 Clinical Trials With a Trial-Specific Patient Decision Aid: Development and Usability Study
Iva Halilaj, Relinde Lieverse, Cary Oberije, Lizza Hendriks, Charlotte Billiet, Ines Joye, Brice Van Eeckhout, Anke Wind, Anshu Ankolekar, Philippe Lambin
PLoS ONE
Mali, Shruti Atul; Rad, Nastaran Mohammadian; Woodruff, Henry C.; Depeursinge, Adrien; Andrearczyk, Vincent; Lambin, Philippe
Artificial intelligence based data curation: enabling a patient-centric European health data space
Isabelle de Zegher; Kerli Norak; Kerli Norak; Dominik Steiger; Heimo Müller; Dipak Kalra; Bart Scheenstra; Isabella Cina; Stefan Schulz; Stefan Schulz; Kanimozhi Uma; Petros Kalendralis; Eno-Martin Lotman; Martin Benedikt; Michel Dumontier; Remzi Celebi
Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment
Gu J, Zhong X, Fang C, Lou W, Fu P, Woodruff HC, Wang B, Jiang T, Lambin P.
Disambiguation of acronyms in clinical narratives with large language models
Amila Kugic; Stefan Schulz; Markus Kreuzthaler
Kommunikationsfähigkeit und Interoperabilität von Gesundheitsdaten in einem vernetzten Gesundheitssystem
Philipp Daumke, Christian Haverkamp, Simone Heckmann, Marcus Kuper, Annett Müller, Frank Oemig, Uta Ripperger, Stefan Sabutsch, André Sander & Stefan Schulz
Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical Narratives
Kanimozhi Uma, Sumam Francis, Marie-Francine Moens
Pushing the boundaries of radiotherapy-immunotherapy combinations: highlights from the 7 <sup>th</sup> immunorad conference
Pierre-Antoine Laurent; Fabrice André; Alexandre Bobard; Desiree Deandreis; Sandra Demaria; Stephane Depil; Stefan B. Eichmüller; Cristian Fernandez-Palomo; Floris Foijer; Lorenzo Galluzzi; Jérôme Galon; Matthias Guckenberger; Kevin J. Harrington; Fernanda G. Herrera; Peter E. Huber; Antoine Italiano; Sana D. Karam; Guido Kroemer; Philippe Lambin; Carola Leuschner; Alberto Mantovani; Etienne Meylan; Michele Mondini; Mikael J. Pittet; Jean-Pierre Pouget; Jordi Remon; Claus S. Sørensen; Christos Sotiriou; Claire Vanpouille-Box; Ralph R. Weichselbaum; James W. Welsh; Laurence Zitvogel; Silvia C. Formenti; Eric Deutsch
Simulated image-specific microcalcification clusters and associated mass enhancement to enhance training of a deep learning model for cancer detection in contrast-enhanced mammography
Astrid Van Camp, Henry C. Woodruff, Lesley Cockmartin, Nicholas W. Marshall, Hilde Bosmans, Philippe Lambin
Towards Explainability in Automated Medical Code Prediction from Clinical Records
Kanimozhi Uma, Sumam Francis, Wei Sun, Marie-Francine Moens
Unraveling Clinical Insights: A Lightweight and Interpretable Approach for Multimodal and Multilingual Knowledge Integration
Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health)@ LREC-COLING 2024· 2024
Uma, Kanimozhi ; Moens, Marie Francine
AI for life: Trends in artificial intelligence for biotechnology
Holzinger A, Keiblinger K, Holub P, Zatloukal K, Müller H.
Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms
Manon P. L. Beuque, Marc B. I. Lobbes, Yvonka van Wijk, Yousif Widaatalla, Sergey Primakov, Michael Majer, Corinne Balleyguier, Henry C. Woodruff, Philippe Lambin
Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring
· 2023
Mehryar S, Celebi R
Toward human-level concept learning: Pattern benchmarking for AI algorithms
Holzinger A, Saranti A, Angerschmid A, Finzel B, Schmid U, Mueller H
Towards principles of ontology-based annotation of clinical narratives
· 2023
Schulz S, Del-Pinto W, Han L, Kreuzthaler M, Aghaei S, Nenadic G
▶Deliverables (22)
Demonstrators, pilots, prototypes
Websites, patent fillings, videos etc.
Documents, reports
Documents, reports
Other
Documents, reports
Documents, reports
Documents, reports
Demonstrators, pilots, prototypes
Websites, patent fillings, videos etc.
Documents, reports
Documents, reports
Demonstrators, pilots, prototypes
Documents, reports
Documents, reports
Documents, reports
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
▶Other Results (1)
Periodic Reporting for period 1 - AIDAVA (AI powered Data Curation & Publishing Virtual Assistant)