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 · 16 Zit. · Journal of Imaging

Reshaping free-text radiology notes into structured reports with generative question answering transformers

2024 · 15 Zit. · Artificial Intelligence in Medicine

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

2023 · 9 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 · 7 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

Application of artificial intelligence in the diagnosis of scaphoid fractures: impact of automated detection of scaphoid fractures in a real-life study

2025 · 2 Zit. · La radiologia medica

Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray Images

2024 · 2 Zit. · Methods of Information in 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)