Cabitza, Federico

Unintended consequences of machine learning in medicine

Cabitza, F., Rasoini, R., & Gensini, G. F. (2017) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 1,066

The importance of being external. methodological insights for the external validation of machine learning models in medicine

Cabitza, F., Campagner, A., Soares, F., García de Guadiana-Romualdo, L., Challa, F., Sulejmani, A., Seghezzi, M., & Carobene, A. (2021) · Computer Methods and Programs in Biomedicine

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 284

AI-induced deskilling in medicine: a mixed-method review and research agenda for healthcare and beyond

Natali, C., Marconi, L., Dias Duran, L. D., & Cabitza, F. (2025) · Artificial Intelligence Review

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 143

Rams, hounds and white boxes: investigating human–AI collaboration protocols in medical diagnosis

Cabitza, F., Campagner, A., Ronzio, L., Cameli, M., Mandoli, G. E., Pastore, M. C., Sconfienza, L. M., Folgado, D., Barandas, M., & Gamboa, H. (2023) · Artificial Intelligence in Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 117

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

Cabitza, F., Campagner, A., & Basile, V. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Mobile Crowdsensing and CrowdsourcingMachine Learning and Data Classification

Cited by 114

Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters

Cabitza, F., Campagner, A., & Balsano, C. (2020) · Annals of Translational Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 113

Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI

Cabitza, F., Campagner, A., Malgieri, G., Natali, C., Schneeberger, D., Stoeger, K., & Holzinger, A. (2023) · Expert Systems with Applications

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 89

The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence

Cabitza, F., & Zeitoun, J.-D. (2019) · Annals of Translational Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 72

The need to move away from agential-AI: Empirical investigations, useful concepts and open issues

Cabitza, F., Campagner, A., & Simone, C. (2021) · International Journal of Human-Computer Studies

Information Systems Theories and ImplementationHuman-Automation Interaction and Safety

Cited by 55

AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making

Cabitza, F., Campagner, A., Angius, R., Natali, C., & Reverberi, C. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Human-Automation Interaction and SafetyEthics and Social Impacts of AI

Cited by 51

Machine Learning for Health: Algorithm Auditing & Quality Control

Oala, L., Murchison, A. G., Balachandran, P., Choudhary, S., Fehr, J., Leite, A. W., Goldschmidt, P. G., Johner, C., Schörverth, E. D. M., Nakasi, R., et al. (2021) · Journal of Medical Systems

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 48

Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories

Carobene, A., Cabitza, F., Bernardini, S., Gopalan, R., Lennerz, J. K., Weir, C., & Cadamuro, J. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM)

Artificial Intelligence in Healthcare and EducationClinical Laboratory Practices and Quality Control

Cited by 42

Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems

Brankovic, A., Cook, D., Rahman, J., Delaforce, A., Li, J., Magrabi, F., Cabitza, F., Coiera, E., & Bradford, D. (2025) · npj Digital Medicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 37

Enhancing human-AI collaboration: The case of colonoscopy

Introzzi, L., Zonca, J., Cabitza, F., Cherubini, P., & Reverberi, C. (2024) · Digestive and Liver Disease

Artificial Intelligence in Healthcare and EducationColorectal Cancer Screening and Detection

Cited by 28

Invisible to Machines: Designing AI that Supports Vision Work in Radiology

Anichini, G., Natali, C., & Cabitza, F. (2024) · Computer Supported Cooperative Work (CSCW)

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 18

From Oracular to Judicial: Enhancing Clinical Decision Making through Contrasting Explanations and a Novel Interaction Protocol

Cabitza, F., Famiglini, L., Fregosi, C., Pe, S., Parimbelli, E., La Maida, G. A., & Gallazzi, E. (2025) · Proceedings of the 30th International Conference on Intelligent User Interfaces

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 11

Perceiving AI as an Epistemic Authority or Algority: A User Study on the Human Attribution of Authority to AI

Milella, F., & Cabitza, F. (2026) · Machine Learning and Knowledge Extraction

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 11