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

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By Arsela Prelaj, Vanja Mišković, Matteo Antonio Sacco, Alberto Ferrarin, Leonardo Provenzano, Andrea Spagnoletti, Monica Ganzinelli, Daniele Lorenzini, Luca Invernizzi, Cecilia Silvestri, Laura Mazzeo, Marco Meazza Prina, Giulia Corrao, Andra Diana Dumitrascu, Dario Monzani, Gabriella Pravettoni, Chiara Cavalli, Rebecca Romano, Claudia Giani, Alessandra Esposito, Christine M. Bestvina, Maria Spector, Laila Roisman, Till Olchers, Heinz Richter, Anna Di Lello, Valentina Bartolomeo, Evangelos G Sarris, Elena Fountzilas, Aina Roca, Patricia Iranzo, Jose Rodríguez-Morató, Luca Agnelli, Mario Occhipinti, Marta Brambilla, Teresa Beninato, Claudia Proto, Eliana Rulli, Stefan Steurer, Ronald Simon, Michael Willis, Giancarlo Pruneri, Filippo de Braud, Marcello Restelli, Enriqueta Felip, Nir Peled, Alexander Pearson, Helena Linardou, Martin Reck, Giuseppe Lo Russo, Marina Chiara Garassino, Cristina Maria Licciardello, Margherita Favali, Ludovica Lerma, Aleksandra Zec, Beshoy Guirges, Margherita Ruggirello, Michele Zanitti, Davide Macocchi, Moreno Bruno Marino, Samuel G. Armato III, Bogot R. Naama, Reham Basheer, Adi Lahiani Hafzadi, Iris Watermann, Marlen Szewczyk, Constantin Blanke-Roeser, Costanza Siniscalchi, Teresa Arangoa, Nikolaos Spathas, Rocio Caro-Consuegra, Melissa Fernández-Pinto, Sokol Kosta, Francesco Trovò
| Nature Verified
Abstract Despite a decade in, immunotherapy (IO) treatment selection in non-small cell lung cancer (NSCLC) remains largely guided by subgroup analyses and imperfect programmed death ligand 1 (PD-L1) and clinical scores. To our knowledge, I3LUNG (NCT05537922) is currently the largest international, real-world, multimodal, artificial intelligence (AI)-based study, enrolling 2,396 patients.
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