On the Automatic Assessment of Natural Language Expert Explanations in Medicine

Santiago Marro, Theo Alkibiades Collias, Elena Cabrio and Serena Villata

Sinogram Upsampling Using Primal–Dual UNet for Undersampled CT and Radial MRI Reconstruction

Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck and Andreas Nürnberger

The PredictMed-POMAS Architecture for Intelligent Patient Monitoring Within a Complex Healthcare Ecosystem

Stefania Costantini, Carlo Maria Bertoncelli, Domenico Bertoncelli, Pasquale De Meo, Rino Falcone, Fabio Persia and Silvia Rossi

Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces

Sciaraffa Nicolina, Gianluca Di Flumeri, Daniele Germano, Andrea Giorgi, Antonio Di Floro, Gianluca Borghini, Alessia Vozzi, Vincenzo Ronca, Fabio Babiloni and Pietro Aricò

Computational Intelligence Analysis of High-Risk Neuroblastoma Patient Health Records Reveals Time to Maximum Response as One of the Most Relevant Factors for Outcome Prediction

Davide Chicco, Riccardo Haupt, Alberto Garaventa, Paolo Uva, Roberto Luksch and Davide Cangelosi

Brain Captioning: Decoding Human Brain Activity into Images and Text

Matteo Ferrante, Tommaso Boccato and Nicola Toschi

Breaking the Structure of Multilayer Perceptrons with Complex Topologies

Tommaso Boccato, Matteo Ferrante, Andrea Duggento and Nicola Toschi

Master Surgical Scheduling via Answer Set Programming Tested on Real Data

Giuseppe Galatà, Marco Maratea and Marco Mochi

Clinical Intervention Effectiveness Estimation Through Dynamic Bayesian Network

Alessandro Bregoli, Luca Neri, Len Usvyat and Francesco Bellocchio

Data Augmentation: a Combined Inductive-Deductive Approach Featuring Answer Set Programming

Pierangela Bruno, Francesco Calimeri, Cinzia Marte and Simona Perri

Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders

Christel Sirocchi, Federica Biancucci, Matteo Donati, Nunzio D'Amore, Riccardo Benedetti, Alessandro Bogliolo, Stefano Ferretti, Mauro Magnani, Michele Menotta, Muhammad Suffian and Sara Montagna

Scheduling Periodic Treatments via Answer Set Programming

Simone Caruso, Carmine Dodaro, Giuseppe Galatà and Marco Maratea

Deep Survival Analysis for Healthcare: an Empirical Study on Post-Processing Techniques

Alberto Archetti, Francesco Stranieri and Matteo Matteucci

Enhancing Medical Image Report Generation Through Standard Language Models: Leveraging the Power of LLMs in Healthcare

Giorgio Leonardi, Luigi Portinale and Andrea Santomauro

Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach

Andrea Ciardiello, Cecilia Voena, Greta Grillo, Stefano Giagu, Tommaso Torda, Simona Gargiulo and Simone Scardapane

Viral Pneumonia Images Classification by Multiple Instance Learning: Preliminary Results.

Matteo Avolio, Antonio Fuduli, Eugenio Vocaturo and Ester Zumpano

Towards a Transportable Causal Network Model Based on Observational Healthcare Data

Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari and Fabio A. Stella

AI in Healthcare: a View from the Industry

Igor Menghini

Decision Support System for Automatic Adjustment of Rehabilitation Routines for Stroke Patients

David Vallejo, Sergio Martínez, Cristian Gmez-Portes, Vanesa Herrera, Javier Albusac and José J. Castro-Schez

A Novel Cephalometric Tool Enhanced by AI Assistance

Riccardo Zese, Luca Lombardo, Matteo De Maio, Michael Tamascelli and Francesca Cremonini

Structural Positional Encoding for Knowledge Integration in Transformer-Based Medical Process Monitoring

Marco Dossena, Christopher Irwin, Giorgio Leonardi and Stefania Montani

The Impact of Missing Data on Causal Discovery: a Multicentric Clinical Study

Alessio Zanga, Alice Bernasconi, Peter Lucas, Johanna Pijnenborg, Casper Reijnen, Marco Scutari and Fabio Stella