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ZENODO
Dataset . 2025
Data sources: ZENODO
ZENODO
Dataset . 2025
Data sources: Datacite
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MED-ITA

Authors: Seveso, Andrea; Mercorio, Fabio; Potertì, Daniele; malandri, lorenzo; Adobati, Simone;
Abstract

We introduce MED-ITA, a large-scale evaluation benchmark designed to assess the medical knowledge and understanding capabilities of Large Language Models (LLMs) in the Italian language. The benchmark comprises 10,000 multiple-choice questions drawn from official national examinations used to certify and recruit medical professionals across the Italian healthcare system.MED-ITA covers 50 distinct clinical and biomedical categories, ranging from core medical sciences (e.g., pathological anatomy, pharmacology and clinical toxicology, clinical pathology) to specialised clinical disciplines (e.g., neurology, cardiac surgery, psychiatry) and cross-disciplinary fields (e.g., legal medicine, health statistics and biometry). All questions are written in authentic Italian and reflect the structure, terminology, and cultural specificity of real-world medical assessments.MED-ITA offers the first fine-grained, domain-specific benchmark for Italian medical language understanding, providing a foundation for advancing culturally and clinically grounded AI applications in healthcare.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average