Institute for High Performance Computing and Networking

Ethical and regulatory challenges of AI technologies in healthcare: A narrative review

Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro et al.

2024 · 729 Zit.

Image biomarkers and explainable AI: handcrafted features versus deep learned features

Leonardo Rundo, Carmelo Militello

2024 · 62 Zit.

The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review

Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro et al.

2023 · 60 Zit.

Shallow and deep learning classifiers in medical image analysis

Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio et al.

2024 · 53 Zit.

Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features

Francesco Prinzi, Carmelo Militello, Nicola Scichilone et al.

2023 · 36 Zit.

“Medical Assistance in Contextual awareness” (AMICO): a project for a better cardiopathic patients quality of care

V. Di Palma, Daniela De Venuto, Stefano Ricci et al.

2019 · 10 Zit.

Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics

Francesco Prinzi, Carmelo Militello, Calogero Zarcaro et al.

2025 · 8 Zit.

Overview of the SMART-BEAR Technical Infrastructure

Vadim Peretokin, Ioannis Basdekis, Ioannis Kouris et al.

2022 · 7 Zit.

Promoting fairness in activity recognition algorithms for patient’s monitoring and evaluation systems in healthcare

Ciro Mennella, Massimo Esposito, Giuseppe De Pietro et al.

2024 · 5 Zit.

Editorial: Artificial intelligence and robotic applications for smart monitoring and assistance in healthcare services

Ciro Mennella, Umberto Maniscalco, Giovanni Luca Masala et al.

2024 · 3 Zit.

Comparative analysis of AI algorithms on real medical data for chronic pain detection

Carmela Comito, Agostino Forestiero, Davide Macrì et al.

2025 · 3 Zit.

Enhancing Chronic Pain Nursing Diagnosis Through Machine Learning

Davide Macrì, Nicola Ramacciati, Carmela Comito et al.

2025 · 1 Zit.

Interpretable vs. Post-Hoc Explained Models for Digital Twin Applications in Clinical Forecasting: A Multiple Sclerosis Case Study

Salvatore Giugliano, Ilaria Basile, Giovanna Sannino

2025 · 0 Zit.

Bridging the Gap: Integrating Heterogeneous Clinical Data into HL7 FHIR

Teresa Conte, Nadia Brancati, Martina Russo et al.

2025 · 0 Zit.

Transparent Models in Healthcare: Enhancing Decision Support Through Explainability

Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri et al.

2025 · 0 Zit.