This paper summarizes recent research at the Signals and Images Lab (ISTI-CNR) leveraging artificial intelligence, machine learning, and computer vision to address complex biomedical challenges. We highlight advancements in trustworthy, explainable algorithmic foundations alongside their practical clinical applications across diagnostic imaging, physiological signal analysis and neuromotor rehabilitation.
Advancements in Artificial Intelligence and Computer Vision for Biomedical Applications @SI-Lab
Marco Cafiso;Andrea Carboni;Claudia Caudai;Sara Colantonio;Francesco Conti;Mario D’Acunto;Said Daoudagh;Giulio Del Corso;Riccardo Del Gratta;Danila Germanese;Giacomo Ignesti;Gianmarco Lazzini;Giuseppe Riccardo Leone;Barbara Leporini;Massimo Magrini;Massimo Martinelli;Davide Moroni
;Ali Reza Omrani;Francesca Pardini;Maria Antonietta Pascali;Paolo Paradisi;Marco Tampucci;Federico Volpini
2026
Abstract
This paper summarizes recent research at the Signals and Images Lab (ISTI-CNR) leveraging artificial intelligence, machine learning, and computer vision to address complex biomedical challenges. We highlight advancements in trustworthy, explainable algorithmic foundations alongside their practical clinical applications across diagnostic imaging, physiological signal analysis and neuromotor rehabilitation.File in questo prodotto:
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ITAL_IA_2026_health.pdf
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