Hannes Hilberger

Peer-Reviewed Publikationen:

Hilberger, H., Buchgraber-Schnalzer, B., Huber, S., Weitlaner, T., Bödenler, M., Abaci, A., Bruinsma, J., Diaz, A., Guazzarini, A. G., Lehtisalo, J., Lee, S., Loukas, V., Mangialasche, F., Mecocci, P., Ngandu, T., Rosenberg, A., Stögmann, E., Valkonen, K., Uhlik, E., Untersteiner, H., Kneß, L., Ahammer, H., & Hanke, S. (2025). Design of a mobile app and a clinical trial management system for cognitive health and dementia risk reduction: User-centered design approach. JMIR Aging, 8, e66660. https://doi.org/10.2196/66660
Hilberger, H., Hanke, S., & Bödenler, M. (2022). Federated learning with dynamic model exchange. Electronics, 11(10), 1530. https://doi.org/10.3390/electronics11101530
Rosenberg, A., Untersteiner, H., Guazzarini, A. G., Bödenler, M., Bruinsma, J., Buchgraber-Schnalzer, B., Colombo, M., Crutzen, R., Diaz, A., Fotiadis, D. I., Hilberger, H., Huber, S., Kaartinen, N., Kassiotis, T., Kivipelto, M., Lehtisalo, J., Loukas, V. S., Lötjönen, J., Pirani, M., … on behaf of the LETHE Consortium. (2024). A digitally supported multimodal lifestyle program to promote brain health among older adults (The lethe randomized controlled feasibility trial): Study design, progress, and first results. Alzheimer’s Research & Therapy, 16(1), 252. https://doi.org/10.1186/s13195-024-01615-4

Internationale Konferenzbeiträge:

Hilberger, H., Bödenler, M., & Hanke, S. (2024). Tracking usage patterns of a mobile application for dementia risk assessment in elderly individuals. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (S. 478–482). IOS Press. https://doi.org/10.3233/SHTI240452
Hilberger, H., Buchgraber-Schnalzer, B., Huber, S., Weitlaner, T., Untersteiner, H., Seerainer, C., & Hanke, S. (2024). Enhancing dementia risk mitigation: Standardized digital monitoring in clinical trials and platform design for at-risk elderly individuals. In D. Hayn, B. Pfeifer, G. Schreier, & M. Baumgartner (Hrsg.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI240004
Hanke, S., Perkics, O., Bödenler, M., Untersteiner, H., & Hilberger, H. (2025). Implementation of an app-based dementia risk assessment. In E. Andrikopoulou, P. Gallos, T. N. Arvanitis, R. Austin, A. Benis, R. Cornet, P. Chatzistergos, A. Dejaco, L. Dusseljee-Peute, A. Mohasseb, P. Natsiavas, H. Nakkas, & P. Scott (Hrsg.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI250307
Andres, J., Hilberger, H., Hanke, S., & Bödenler, M. (2025). Federated learning for healthcare: Class imbalance mitigation and feature drift detection. In M. Baumgartner, D. Hayn, B. Pfeifer, & G. Schreier (Hrsg.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI250203
Buchgraber-Schnalzer, B., Hilberger, H., Huber, S., Weitlaner, T., Thomas, R., & Maier, R. (2025). Prototype development of a fhir-based electronic patient care report app to support paramedics in rwanda. In M. Baumgartner, D. Hayn, B. Pfeifer, & G. Schreier (Hrsg.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI250179
Hanke, S., Giannikopoulos, D., Hilberger, H., Weitlaner, T., & Neumayer, B. (2024). Technology support system and review process for a decentralized clinical trial: Trials@home, radial dct as case study: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 638–645. https://doi.org/10.5220/0012433900003657
Loukas, V. S., Kassiotis, T., Martinez, I. L., Koumakis, L., Bruinsma, J., Pasciuti, R., Balatresi, M., Tenhunen, V., Fiakkas, A., Ataliani, L., Karanasiou, G. S., Tsiknakis, M., Hilberger, H., Bödenler, M., Schnalzer, B., Huber, S., Pirani, M., Colombo, M., Hanke, S., & Fotiadis, D. I. (2023). Lethe: A digital intervention for cognitive decline*. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 1–4. https://doi.org/10.1109/EMBC40787.2023.10340897
Pluch, L., Hilberger, H., Bödenler, M., Untersteiner, H., & Hanke, S. (2025). Customizable rule-based system for enhanced clinical decision-making in dementia risk reduction. In E. Andrikopoulou, P. Gallos, T. N. Arvanitis, R. Austin, A. Benis, R. Cornet, P. Chatzistergos, A. Dejaco, L. Dusseljee-Peute, A. Mohasseb, P. Natsiavas, H. Nakkas, & P. Scott (Hrsg.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI250276
Rosenberg, A., Untersteiner, H., Guazzarini, A. G., Lehtisalo, J., Thunborg, C., Bruinsma, J., Colombo, M., Crutzen, R., Diaz, A., Fotiadis, D., Hilberger, H., Huber, S., Kivipelto, M., Loukas, V., Lötjönen, J., Pirani, M., Schnalzer, B., Hanke, S., Mangialasche, F., … Consortium, L. (2023). Digitally supported lifestyle program to promote brain health among older adults (LETHE pilot trial) – Study design and progress. Alzheimer’s & Dementia, 19(S23), e072613. https://doi.org/10.1002/alz.072613

Buchbeiträge:

Hilberger, H., Ahammer, H., & Bödenler, M. (2024). Federated Learning – Versprechen und Herausforderung bei der Entwicklung von KI-Systemen basierend auf dezentralen Gesundheitsdaten (pp. 176–197). In A. Klein, S. Dennerlein, & H. Ritschl (Eds.), Health Care und Künstliche Intelligenz: Ethische Aspekte verstehen – Entwicklungen gestalten (1st ed.). Narr Francke Attempto Verlag. https://doi.org/10.36198/9783838562575


Webinare, Interviews und Vorträge auf wissenschaftlichen Konferenzen (Talks):

Presentation at the MIE 2025 conference in Glasgow, Scotland: Implementation of an App-based Dementia Risk Assessement
Presentation at the MIE 2025 conference in Glasgow, Scotland: Customizable Rule-Based System for Enhanced Clinical Decision Making in Dementia Risk Reduction
Online Webinar on the 16th of May 2025: Federated Learning for Neurodegenerative Diseases Research - A New Path to Risk Reduction & Better Care (https://www.youtube.com/watch?v=BXnN_PZzoHQ)
Poster-Presentation at the DocDay 2025 of the Medical University of Graz: Usability and Engagement in Hybrid Lifestyle Interventions for Dementia Risk Reduction: Enhancing Data Collection for AI-Driven Risk Prediction
Online Webinar on the 15th of November 2024: Digital Solutions to Reducing the Risk Factors Causing Dementia - The Lethe Approach (https://www.youtube.com/watch?v=XgXPZCsozSo)
Presentation at the EGI 2024 conference in Lecce, Italy: LETHE App, CTMS and Risk Profile
Presentation at the MIE 2024 conference in Athens, Greece: Tracking Usage Patterns of a Mobile Application for Dementia Risk Assessement in Elderly Individuals
Presentation at the dHealth 2024 conference in Vienna, Austria: Enhancing Dementia Risk Mitigation: Standardized Digital Monitoring in Clinical Trials and Platform Design for At-Risk Elderly Individuals
Interview about "Catalysing Innovation - Constructing Dynamic Healthcare Ecosystems" at the Brain Innovation Days in Brussels, 2023 (https://www.youtube.com/watch?v=A3bRbgI_rAQ)
Rountable Discussion "BRAINTEASER Roundtable Discussion - Personalised early risk prediction, prevention and intervention in brain diseases: challenges and opportunities of AI and Big Data technologies" at the Brain Innovation Days in Brussels, 2023



Sonstige Präsentationen, Beiträge in Fachzeitschriften und Preise:

Diskussionsrunde „Vom Ziel zum Weg – Gesundheit im Fokus“ am Gesundheits- und Mobilitätstag 2024 an der FH JOANNEUM Graz
Health Research Award 2020 zur eigenen Masterarbeit "Implementierung eines Cross-Silo Federated Learning Ansatzes für den Gesundheitssektor"


Aus- und Weiterbildung:

Doctoral School for Lifestyle-Related Diseases, Medizinische Universität Graz
ICH-GCP E6 (R2) Training
eHealth Master, FH JOANNEUM Graz
eHealth Bachelor, FH JOANNEUM Graz
HTBL Mössingerstraße Klagenfurt (Fachrichtung: Elektronik und Technische Informatik)



Beruflicher Werdegang:

Softwareentwickler, KAGES
Junior Customizing Engineer, Meierhofer AG
Wissenschaftlicher Mitarbeiter, Institut eHealth FH JOANNEUM



Aktuelle Projekte/Tätigkeiten:
H2020 Projekt LETHE: Lead Dev für LETHE App & LETHE CTMS, technische Koordination
FFG Projekt LETHE-AT: Technical Manager
IMI H2020 Projekt Trials@Home: Aufsetzen und Wartung des Issue-Tracking System
My Fibro Journal: Mitbetreuung der Studie und Weiterentwicklung seitens FH JOANNEUM in Kooperation mit der Harvard Medical School (https://www.fh-joanneum.at/presse/my-fibro-journal/)