8 papers
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
Mariano Barone, Francesco Di Serio, Roberto Moio +4
Large Language Models (LLMs) are increasingly deployed in healthcare, yet their communicative alignment with clinical standards remains insufficiently quantified. We conduct a mult…
Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Mariano Barone, Francesco Di Serio, Giuseppe Riccio +4
Current medical vision-language models (VLMs) process volumetric brain MRI using 2D slice-based approximations, fragmenting the spatial context required for accurate neuroradiologi…
SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties
Roberta Di Marino, Giovanni Dioguardi, Antonio Romano +5
Medical question answering systems face deployment challenges including hallucinations, bias, computational demands, privacy concerns, and the need for specialized expertise across…
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
Mariano Barone, Antonio Laudante, Giuseppe Riccio +3
The extraction of pharmacological knowledge from regulatory documents has become a key focus in biomedical natural language processing, with applications ranging from adverse event…
IMB: An Italian Medical Benchmark for Question Answering
Antonio Romano, Giuseppe Riccio, Mariano Barone +2
Online medical forums have long served as vital platforms where patients seek professional healthcare advice, generating vast amounts of valuable knowledge. However, the informal n…
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
Mariano Barone, Antonio Romano, Giuseppe Riccio +2
Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses risks to public health and trust in medical systems. While machine learning and natural language…