Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 219 Zit.

Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence

Carlo Metta, Andrea Beretta, Roberto Pellungrini et al.

2024 · 50 Zit.

Principles of Explainable Artificial Intelligence

Riccardo Guidotti, Anna Monreale, Dino Pedreschi et al.

2021 · 35 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.

Mapping the landscape of ethical considerations in explainable AI research

Luca Nannini, Marta Marchiori Manerba, Isacco Beretta

2024 · 14 Zit.

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

Carlo Metta, Riccardo Guidotti, Yuan Yin et al.

2021 · 12 Zit.

Explaining Black-Boxes in Federated Learning

Luca Corbucci, Riccardo Guidotti, Anna Monreale

2023 · 12 Zit.

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Ioanna Chouvarda, Sara Colantonio, Ana Sofia Castro Verde et al.

2025 · 7 Zit.

Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models

Rossana Buongiorno, Giulio Del Corso, Danila Germanese et al.

2023 · 4 Zit.

A Chatbot-based Assistive Technology to Get Information on a Clinical Environment

Marina Buzzi, Elia Grassini, Barbara Leporini

2024 · 3 Zit.

AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency^*

Sara Colantonio, Andrea Berti, Rossana Buongiorno et al.

2023 · 2 Zit.

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

Haridimos Kondylakis, Richard Osuala, Xénia Puig-Bosch et al.

2025 · 2 Zit.

AI Model Passport: Data and system traceability framework for transparent AI in health

Varvara Kalokyri, Nikolaos S. Tachos, Charalampos Kalantzopoulos et al.

2025 · 2 Zit.