Lorenzo Preda

AlforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.

2021 · 91 Zit. · Florence Research (University of Florence)

Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic

2024 · 10 Zit. · Journal of Imaging

Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.

2023 · 8 Zit. · European Journal of Radiology Open

Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization

2025 · 6 Zit. · BMC Medical Informatics and Decision Making

The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey

2024 · 4 Zit. · Journal of Personalized Medicine

Dataset related to article "An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals "

2023 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Dataset related to article "An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals "

2023 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)