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A. Prelaj

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#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
Review Aug 2026

AI-based augmentation of oncology clinical trials.

It is argued that achieving the potential of AI in oncology clinical trials will require rigorous prospective validation, harmonized regulatory standards, and coordination among clinicians, trialists, regulators, industry and patients.

Andrea Villa, A. Eadie, David Synnott et al. · 0 citations
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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