Cabitza, Federico Antonio Niccolo' Amedeo

Cabitza, Federico Antonio Niccolo' Amedeo  

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Artificial intelligence-based image recognition in bronchoscopy: software development and randomized controlled trial for training evaluation in intensive care residents 1-gen-2026 Brunoni, Beatrice; Zadek, Francesco; Pampurini, Federica; Vettorello, Marco; Baccoli, Francesco; Cabitza, Federico; Fumagalli, Roberto; Langer, Thomas
Calibration-informed metrics for instance-level predictive reliability in medical AI 1-gen-2026 Cabitza, Federico
Clinical Deployability: A Socio-technical Construct for Evaluating Real-World Readiness of Medical AI 1-gen-2026 Cabitza, Federico; Dragoni, Mauro
From algorithms to care: ten principles for responsible deployment of artificial intelligence in healthcare 1-gen-2026 Cabitza, Federico; Ricciardi, Walter; Gerosa, Gino; Gensini, Gian Franco; Valente, Serafina
From Asimov’s laws to Kasparov’s laws: artificial intelligence, clinical work, and the design of hybrid intelligence 1-gen-2026 Cabitza, Federico
How Explanation Framing Shapes Reliance on AI in Clinical Decision Support 1-gen-2027 Cabitza, Federico; Papale, Alessia; Vicente, Lucía; Tomaiuolo, Rossella
Human Agency and Skill in AI-SupportedWork: Countering Cognitive Offloading 1-gen-2026 Fregosi, Caterina; Fischer, Simon; Natali, Chiara; Schraffenberger, Hanna; Cabitza, Federico
Perceiving AI as an Epistemic Authority or Algority: A User Study on the Human Attribution of Authority to AI 1-gen-2026 Milella, Frida; Cabitza, Federico
Process over Skill: Testing Kasparov’s Law and Coordination Protocols in Hybrid Human–AI Decision-Making for Medical Diagnosis 1-gen-2026 Papale, Alessia; Lopiano, Gloria; Campagner, Andrea; Cabitza, Federico
Spot the Relevance: Evaluating Pixel Attribution Methods for Clinical Significance in Radiological Imaging 1-gen-2026 Cabitza, Federico; Gallazzi, Enrico; Papale, Alessia
Under what influence: Measuring AI influence to fit user profiles in decision-making 1-gen-2026 Campagner, Andrea; Fregosi, Caterina; Natali, Chiara; Cabitza, Federico
Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI 1-gen-2026 Cabitza, Federico; Jurman, Giuseppe; Molinari, Filippo; Bellazzi, Riccardo