Evaluation of an Explainable AI Decision Support Tool and the Effectiveness of Multimodal Models in Non-Small Cell Lung Cancer Management
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By
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Arsela Prelaj
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Vanja Miskovic
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Matteo Sacco
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Alberto Ferrarin
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Cristina Maria Licciardello
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Leonardo Provenzano
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Margherita Favali
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Ludovica Lerma
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Aleksandra Zec
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Andrea Spagnoletti
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Monica Ganzinelli
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Daniele Lorenzini
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Beshoy Guirges
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Luca Invernizzi
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Cecilia Silvestri
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Laura Mazzeo
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Marco Meazza Prina
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Giulia Corrao
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Margherita Ruggirello
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Andra Diana Dumitrascu
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Rosa Maria Di Mauro
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Dario Monzani
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Gabriella Pravettoni
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Michele Zanitti
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Davide Macocchi
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Moreno Bruno Marino
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Chiara Cavalli
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Rebecca Romanò
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Claudia Giani
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Samuel G. Armato
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Alessandra Esposito
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Christine M. Bestvina
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Maria Spector
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Bogot R. Naama
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Reham Basheer
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Adi Lahiani Hafzadi
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Laila Roisman
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Iris Watermann
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Marlen Szewczyk
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Till Olchers
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Heinz Richter
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Constantin Blanke-Roeser
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Costanza Siniscalchi
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Anna Di Lello
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Teresa Arangoa
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Valentina Bartolomeo
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Nikolaos Spathas
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Evangelos Sarris
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Elena Fountzilas
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Aina Arbusà Roca
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Rocio Caro-Consuegra
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Patricia Iranzo
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Melissa Fernández-Pinto
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Jose Rodríguez-Morató
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Luca Agnelli
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Mario Occhipinti
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Marta Brambilla
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Teresa Beninato
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Claudia Proto
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Sokol Kosta
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Michele Pio Di Palma
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Eliana Rulli
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Stefan Steurer
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Ronald Simon
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Michael Willis
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Giancarlo Pruneri
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Filippo De Braud
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Marcello Restelli
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Enriqueta Felip
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Nir Peled
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Alexander T. Pearson
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Helena Linardou
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Martin Reck
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Giuseppe Lo Russo
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Francesco Trovò
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Alessandra Laura Giulia Pedrocchi
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Marina Chiara Garassino
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September 13, 2026
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
