28 citations · 57 across the 7 of their papers we have counts for
4 papers · 1 filter
Introducing δ-XAI: a novel sensitivity-based method for local AI explanations
Alessandro De Carlo, Enea Parimbelli, Nicola Melillo +1
Explainable Artificial Intelligence (XAI) is central to the debate on integrating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into clinical practice. High-per…
Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian
Tommaso Mario Buonocore, Simone Rancati, Enea Parimbelli
The development of domain-specific language models has significantly advanced natural language processing applications in various specialized fields, particularly in biomedicine. H…
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
Laura Bergomi, Tommaso M. Buonocore, Paolo Antonazzo +5
BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently the adoption of structured reporting (…
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli +5
Applying Artificial Intelligence (AI) and Machine Learning (ML) in critical contexts, such as medicine, requires the implementation of safety measures to reduce risks of harm in ca…