{"id":316,"date":"2023-07-11T10:46:45","date_gmt":"2023-07-11T08:46:45","guid":{"rendered":"https:\/\/digitalhealthcenter.fbk.eu\/pubblicazioni\/"},"modified":"2026-03-24T10:08:12","modified_gmt":"2026-03-24T09:08:12","slug":"pubblications","status":"publish","type":"page","link":"https:\/\/digitalhealthcenter.fbk.eu\/en\/pubblications\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t
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Publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Publications from the Center Director and Unit Heads<\/a> – indexed on Google Scholar<\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Selected Publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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2026<\/strong><\/p>

Brunoni, B., Zadek, F., Pampurini, F., Vettorello, M., Baccoli, F., Cabitza, F., … & Langer, T. (2026). Artificial intelligence-based image recognition in bronchoscopy: software development and randomized controlled trial for training evaluation in intensive care residents. BMC Medical Education<\/i>\u00a0\u00a0 \u00a0\u00a0<\/p><\/div>

Cabitza, F. (2026). Calibration-informed metrics for instance-level predictive reliability in medical AI. Artificial Intelligence in Medicine, 103366. https:\/\/doi.org\/10.1016\/j.artmed.2025.103366<\/a><\/div>

Cabitza, F., Ricciardi, W., Gerosa, G., Gensini, G. F., & Valente, S. (2026). From algorithms to care: Ten principles for responsible deployment of artificial intelligence in healthcare. European Journal of Internal Medicine, 106739. https:\/\/doi.org\/10.1016\/j.ejim.2025.106739<\/a><\/p>

Campagner, A., Fregosi, C., Natali, C., & Cabitza, F. (2026). Under what influence: Measuring AI influence to fit user profiles in decision-making. International Journal of Human-Computer Studies, 103763. https:\/\/doi.org\/10.1016\/j.ijhcs.2025.103763<\/a><\/p>

2025<\/strong><\/p>

Bailoni, T., & Dragoni, M. (2025). A review on trustworthiness of digital assistants for personal healthcare. ACM Computing Surveys, 57(7), 1-34.\u00a0 https:\/\/doi.org\/10.1145\/3714999<\/code><\/a><\/p>

Balsano, C., Cabitza, F., Cicco, S., Gori, M., Malerba, D., Montagna, M., … & Working Group on Artificial Intelligence, Digital Therapies of the Italian Society of Internal Medicine (SIMI). (2025). Artificial intelligence in medicine: A position paper by the Italian Society of Internal Medicine. Internal and Emergency Medicine, 1-14. https:\/\/doi.org\/10.1007\/s11739-024-03823-z<\/a><\/p>

Biffi, A., Castellini, G., Del Castillo, G., De Nard, F., Vismara, C., Cabitza, F., … & Gianola, S. (2025). Effectiveness of computerized decision support systems linked to electronic health records: An updated systematic review with meta-analysis. International Journal of Medical Informatics, 106220. https:\/\/doi.org\/10.1016\/j.ijmedinf.2024.106220<\/a><\/p>

Bolpagni, M., & Gabrielli, S. (2025). Development of a Comprehensive Evaluation Scale for LLM-Powered Counseling Chatbots (CES-LCC) Using the eDelphi Method. Informatics, 12(1), 33. https:\/\/doi.org\/10.3390\/informatics12010033<\/a><\/p>

Brankovic, A., Cook, D., Rahman, J., Delaforce, A., Li, J., Magrabi, F., … & Bradford, D. (2025). Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems. npj Digital Medicine, 8(1), 364.\u00a0 https:\/\/doi.org\/10.1038\/s41746-025-01764-2<\/code><\/a><\/p>

Cabitza, F., & Parimbelli, E. (2025). Let XAI generate reliability metadata, not medical explanations. Computer methods and programs in biomedicine, 273, 109090. https:\/\/doi.org\/10.1016\/j.cmpb.2025.109090<\/a><\/p>

De Luca, S., Villac\u00eds, J. J. M., Medoro, C. M., Zanaga, G., Grimaldi, P., Dragoni, M., … & Rizzo, G. (2025). Outbreak Monitoring: Epidemic Surveillance through Anomaly Detection on Zero-Shot News Classification. Expert Systems with Applications, 130852. https:\/\/doi.org\/10.1016\/j.eswa.2025.130852<\/a><\/p>

Fietta, V., Rizzi, S., Gios, L., Selmi, S., De Luca, C., Pederiva, L., … & Ferro, A. (2025). A Chat-Bot Based Version of the WHO-validated Intervention Self-Help+ for Stress Management in Breast Cancer Patients: Protocol for a Pilot Feasibility Study. JMIR RESEARCH PROTOCOLS<\/i>,\u00a014<\/i>, 1-18.<\/p>

Gabrielli, S., Mayora Ibarra, O., & Forti, S. (2025). A holistic digital health framework to support health prevention strategies in the first 1000 days. JMIR Pediatrics and Parenting, 8, e55235. https:\/\/doi.org\/10.2196\/55235<\/a><\/p>

Malaguti, M. C., Gios, L., & Jurman, G. (2025). The third wheel or the game changer? How AI could team up with neurologists in Parkinson\u2019s care. Parkinsonism & Related Disorders, 134, 107797. https:\/\/doi.org\/10.1016\/j.parkreldis.2024.107797<\/a><\/p>

Malaguti, M. C., Longo, C., Moroni, M., Ragni, F., Bovo, S., Chierici, M., … & Others. (2025). Machine learning predicts risk of falls in Parkinson\u2019s disease patients in a multicenter observational study. European Journal of Neurology, 32(5), e70118. https:\/\/doi.org\/10.1111\/ene.70118<\/a><\/p>

Marchesi, R., Micheletti, N., I-Hsien Kuo, N., Barbieri, S., Jurman, G., & Osmani, V. (2025). Generative AI mitigates representation bias and improves model fairness through synthetic health data. PLOS Computational Biology, 21(5), e1013080. https:\/\/doi.org\/10.1371\/journal.pcbi.1013080<\/a><\/p>

Melaiu, O., Chierici, M., Gragera, P., Lazzaro, N., Petrilli, L. L., Wienke, J., … & Others. (2025). Mapping B cells and the immune landscape of tertiary lymphoid structures reveals their clinical impact in neuroblastoma. Journal for Immunotherapy of Cancer, 13(11), e012860. https:\/\/doi.org\/10.1136\/jitc-2025-012860<\/a><\/p>

Moroni, M., Novello, L., Malfatti, G., Gios, L., Bonmassari, R., Del Greco, M., … & Others. (2025). Digital health and artificial intelligence: A research approach to enable sustainable and personalised local healthcare. Health Policy and Technology, 101149. https:\/\/doi.org\/10.1016\/j.hlpt.2024.101149<\/a><\/p>

Pardini, S., Navarro Mart\u00ednez, O., & Mayora Ibarra, O. (2025). Virtual, augmented, mixed, and immersive technologies for prenatal and childbirth education: A scoping review. JMIR Pediatrics and Parenting, 8, e83621. https:\/\/doi.org\/10.2196\/83621<\/a><\/p>

Poretto, V., Endrizzi, W., Betti, M., Bovo, S., Bellinvia, A., Ragni, F., … & Others. (2025). Machine learning analysis applied to prediction of early progression independent of relapse activity in multiple sclerosis patients. European Journal of Neurology, 32(12), e70417. https:\/\/doi.org\/10.1111\/ene.70417<\/a><\/p>

2024<\/strong><\/p>

Bennetot, A., Donadello, I., El Qadi El Haouari, A., Dragoni, M., Frossard, T., Wagner, B., … & Diaz-Rodriguez, N. (2024). A practical tutorial on explainable AI techniques. ACM Computing Surveys, 57(2), 1-44.\u00a0 https:\/\/doi.org\/10.1145\/3670685<\/code><\/a><\/p>

Bolpagni, M., Pardini, S., Dianti, M., & Gabrielli, S. (2024). Personalized stress detection using biosignals from wearables: A scoping review. Sensors, 24(10), 3221. https:\/\/doi.org\/10.3390\/s24103221<\/a><\/p>

Bolpagni, M., Pardini, S., & Gabrielli, S. (2024). Human centered design of AI-powered digital therapeutics for stress prevention: Perspectives from multi-stakeholders’ workshops about the SHIVA solution. Internet Interventions, 38, 100775. https:\/\/doi.org\/10.1016\/j.invent.2024.100775<\/a><\/p>

Longo, L., Brcic, M., Cabitza, F., Choi, J., Confalonieri, R., Del Ser, J., … & Stumpf, S. (2024). Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Information Fusion, 106, 102301. https:\/\/doi.org\/10.1016\/j.inffus.2024.102301<\/a><\/p>

Malaguti, M. C., Gios, L., Giometto, B., Longo, C., Riello, M., Ottaviani, D., … & Others. (2024). Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study. PLOS ONE, 19(3), e0300127. https:\/\/doi.org\/10.1371\/journal.pone.0300127<\/a><\/p>

Ragni, F., Bovo, S., Zen, A., Sona, D., De Nadai, K., Adamo, G. G., … & Others. (2024). Session-by-session prediction of anti-endothelial growth factor injection needs in neovascular age-related macular degeneration using optical-coherence-tomography-derived features and machine learning. Diagnostics, 14(23), 2609.\u00a0https:\/\/doi.org\/10.3390\/diagnostics14232609<\/a><\/p>

2023<\/strong><\/p>

\u00a0Dragoni, M., Bailoni, T., Donadello, I., Martin, J. C., & Lindgren, H. (2023). Integrating functional status information into knowledge graphs to support self-health management. Data Intelligence, 5(3), 636-662. https:\/\/doi.org\/10.1162\/dint_a_00216<\/a><\/p>

Dragoni, M., Eccher, C., Ferro, A., Bailoni, T., Maimone, R., Zorzi, A., … & Ghidini, C. (2023). Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution. Artificial Intelligence in Medicine, 138, 102514. https:\/\/doi.org\/10.1016\/j.artmed.2023.102514<\/a><\/p>

Pan, J., Razniewski, S., Kalo, J. C., Singhania, S., Chen, J., Dietze, S., … & Graux, D. (2023). Large language models and knowledge graphs: Opportunities and challenges. Transactions on Graph Data and Knowledge, 1(1). https:\/\/doi.org\/10.4230\/TGDK.1.1.2<\/a><\/p>

Pardini, S., Gabrielli, S., Gios, L., Mayora-Ibarra, O., et al. (2023). Customized virtual reality naturalistic scenarios promoting engagement and relaxation in patients with cognitive impairment: A proof-of-concept mixed-methods study. Scientific Reports, 13, 20516. https:\/\/doi.org\/10.1038\/s41598-023-47876-1<\/a><\/p>

2022<\/strong><\/p>

Santos Teixeira, M., & Dragoni, M. (2022). A review of plan-based approaches for dialogue management. Cognitive Computation, 14(3), 1019-1038. https:\/\/doi.org\/10.1007\/s12559-022-10006-2<\/a><\/p>

2020<\/strong><\/p>

Dragoni, M., Donadello, I., & Eccher, C. (2020). Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artificial Intelligence in Medicine, 105, 101840. https:\/\/doi.org\/10.1016\/j.artmed.2020.101840<\/a><\/p>

2019<\/strong><\/p>

Cabitza, F., & Zeitoun, J. D. (2019). The proof of the pudding: In praise of a culture of real-world validation for medical artificial intelligence. Annals of Translational Medicine, 7(8), 161. https:\/\/doi.org\/10.21037\/atm.2019.03.49<\/a><\/p><\/div>

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Publications Publications from the Center Director and Unit Heads – indexed on Google Scholar. Selected Publications 2026 Brunoni, B., Zadek, F., Pampurini, F., Vettorello, M., Baccoli, F., Cabitza, F., … & Langer, T. (2026). Artificial intelligence-based image recognition in bronchoscopy: software development and randomized controlled trial for training evaluation in intensive care residents. BMC Medical […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-316","page","type-page","status-publish","hentry"],"yoast_head":"\nPublications - FBK Digital Health and WellBeing<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/digitalhealthcenter.fbk.eu\/en\/pubblications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:url\" content=\"https:\/\/digitalhealthcenter.fbk.eu\/en\/pubblications\/\" \/>\n<meta property=\"og:site_name\" content=\"FBK Digital Health and WellBeing\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-24T09:08:12+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" 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