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.· Nature Medicine· 1 citation
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.· Nature Reviews Clinical Onco...· 0 citations
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.· Communications Medicine· 0 citations
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