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L. Mazzeo

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Open access Sep 2026

Composite clinical scores in real-world extensive-stage small-cell lung cancer patients treated with chemo-immunotherapy.

BACKGROUND Composite scores such as Lung Immune Prognostic Index (LIPI), modified Glasgow Prognostic Score (mGPS), EPSILoN, Pan Immune-Inflammation Value (PIV) and Systemic Immune-Inflammation Index (SII) have shown prognostic value in solid tumors, but evidence in extensive-stage small-cell lung cancer (ES-SCLC) are l...

Teresa Beninato, Giulia Stasi, G. Montelatici et al. · 0 citations
#artificial intelligence Open access Sep 2026

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC

In a large international real-world study of non-small cell lung cancer, a multimodal explainable AI model outperformed established biomarkers for immunotherapy outcome prediction and improved physician decision-making.

A. Prelaj, V. Mišković, Matteo Sacco et al. · 1 citation
Open access Jul 2026

Clinician expertise and prompt engineering enhance cancer information extraction in electronic health records by small language models.

This is the first study to benchmark SLMs on Italian EHRs and investigate the role of clinical expertise in prompt engineering, offering valuable insights for the future integration of SLMs into real-world clinical workflows.

Federica Corso, V. Peppoloni, L. Mazzeo et al. · 0 citations

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