Author

Francesco Trovò

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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. · Nature Medicine · 1 citation

#reinforcement learning Open access Sep 2026

A hierarchical reinforcement learning and predictive control framework for automated multi-variable anesthesia

BACKGROUND AND OBJECTIVE: Automated multi-variable anesthesia must balance conflicting objectives amid patient variability, safety constraints, and partial observability. The state-of-the-art robust approach uses a Genetic Algorithm (GA) to optimize Generalized Predictive Control (GPC) parameters across a population, b...

Sara Hosseinirad, Manuela Merlo, Francesco Trovò et al. · Computers in Biology and Med... · 0 citations