Scuola Normale Superiore
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems
Cecilia Panigutti, Andrea Beretta, Fosca Giannotti et al.
2022 · 112 Zit.
Co-design of Human-centered, Explainable AI for Clinical Decision Support
Cecilia Panigutti, Andrea Beretta, Daniele Fadda et al.
2023 · 80 Zit.
FairLens: Auditing black-box clinical decision support systems
Cecilia Panigutti, Alan Perotti, André Panisson et al.
2021 · 76 Zit.
Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence
Carlo Metta, Andrea Beretta, Roberto Pellungrini et al.
2024 · 50 Zit.
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Himanshi Allahabadi, Julia Amann, Isabelle Balot et al.
2022 · 35 Zit.
Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification
Carlo Metta, Andrea Beretta, Riccardo Guidotti et al.
2024 · 17 Zit.
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
Carlo Metta, Andrea Beretta, Riccardo Guidotti et al.
2023 · 16 Zit.
Sustainable Artificial Intelligence through Continual Learning
Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco
2021 · 8 Zit.
FairLens: Auditing black-box clinical decision support systems
Cecilia Panigutti, Alan Perotti, André Panisson et al.
2021 · 8 Zit.
Explainable for Trustworthy AI
Fosca Giannotti, Francesca Naretto, Francesco Bodria
2023 · 3 Zit.
Ethical, Societal and Legal Issues in Deep Learning for Healthcare
Cecilia Panigutti, Anna Monreale, Giovanni Comandé et al.
2022 · 3 Zit.
Explainable Deep Image Classifiers for Skin Lesion Diagnosis
Carlo Metta, Andrea Beretta, Riccardo Guidotti et al.
2021 · 2 Zit.
Handling Missing Values in Local Post-hoc Explainability
Martina Cinquini, Fosca Giannotti, Riccardo Guidotti et al.
2023 · 1 Zit.
Response to letter Re: Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types
Alessio Felici, Giulia Peduzzi, Roberto Pellungrini et al.
2025 · 1 Zit.
Introduction to Special Issue on Trustworthy Artificial Intelligence
Roberta Calegari, Fosca Giannotti, Francesca Pratesi et al.
2024 · 0 Zit.