HC@AIxIA 2023
2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023)

Table of Contents

• Preface
  Summary: There were 34 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 8 as regular papers and 4 as short papers. 14 more papers were part of the technical program of HC@AIxIA 2023, but are not included in this volume, as they were non-original works (i.e., already published or submitted elsewhere).

Papers

• Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER) 1--9
  Christel Sirocchi, Federica Biancucci, Matteo Donati, Nunzio D'Amore, Riccardo Benedetti, Alessandro Bogliolo, Stefano Ferretti, Mauro Magnani, Michele Menotta, Muhammad Suffian, Sara Montagna
• Clinical Intervention Effectiveness Estimation through Dynamic Bayesian Network (SHORT PAPER) 10--17
  Alessandro Bregoli, Luca Neri, Len Usvyat, Francesco Bellocchio
• Structural Positional Encoding for Knowledge Integration in Transformer-based Medical Process Monitoring 18--30
  Christopher Irwin, Marco Dossena, Giorgio Leonardi, Stefania Montani
• Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach (SHORT PAPER) 31--40
  Tommaso Torda, Simona Gargiulo, Greta Grillo, Andrea Ciardiello, Cecilia Voena, Stefano Giagu, Simone Scardapane
• Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare 41--51
  Andrea Santomauro, Luigi Portinale, Giorgio Leonardi
• Decision Support System for Automatic Adjustment of Rehabilitation Routines for Stroke Patients 52--66
  Sergio Martínez, Cristian Gmez-Portes, Vanesa Herrera, Javier Albusac, José J. Castro-Schez, David Vallejo
• Towards a Transportable Causal Network Model Based on Observational Healthcare Data 67--82
  Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio A. Stella
• On the Automatic Assessment of Natural Language Expert Explanations in Medicine 83--98
  Santiago Marro, Theo Alkibiades Collias, Elena Cabrio, Serena Villata
• Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques 99--121
  Alberto Archetti, Francesco Stranieri, Matteo Matteucci
• A Novel Cephalometric Tool Enhanced by AI Assistance (SHORT PAPER) 122--129
  Riccardo Zese, Luca Lombardo, Matteo De Maio, Michael Tamascelli, Francesca Cremonini
• Master Surgical Scheduling via Answer Set Programming Tested on Real Data 130--144
  Giuseppe Galatà, Marco Maratea, Marco Mochi
• The PredictMed-POMAS Architecture for Intelligent Patient Monitoring within a Complex Healthcare Ecosystem 145--160
  Stefania Costantini, Fabio Persia, Pasquale De Meo, Silvia Rossi, Rino Falcone, Carlo Maria Bertoncelli, Domenico Bertoncelli

Non-original papers presented to HC@AIxIA 2023 (refer to the official website for details)

• Brain Captioning: Decoding Human Brain Activity into images and Text
  Matteo Ferrante, Tommaso Boccato, Nicola Toschi
• Evaluation of Machine Learning Predictions’ Reliability with Generative Models: Towards Trustworthy AI
  Lorenzo Peracchio, Giovanna Nicora, Riccardo Bellazzi
• Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
  Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri
• Scheduling Periodic Treatments via Answer Set Programming
  Simone Caruso, Carmine Dodaro, Giuseppe Galatà, Marco Maratea
• Sinogram Upsampling Using Primal–Dual UNet for Undersampled CT and Radial MRI Reconstruction
  Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger
• MICDIR: Multi-Scale Inverse-Consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent
  Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger
• A Federated Learning Framework for Stenosis Detection
  Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Aprile, Alessandro Maolo, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia
• 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, Davide Cangelosi
• The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
  Alessio Zanga, Alice Bernasconi, Peter Lucas, Johanna Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
• Viral Pneumonia Images Classification by Multiple Instance Learning: Preliminary Results
  Eugenio Vocaturo, Matteo Avolio, Antonio Fuduli, Ester Zumpano
• Biomarkers for Mixed Dementia: a Hard Bone to Bite? Preliminary Analyses and Promising Results for a Debated Topic
  Andrea Campagner, Lorenzo Famiglini, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Federico Cabitza
• 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, Pietro Aricò
• Breaking the Structure of Multilayer Perceptrons with Complex Topologies
  Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
• Exploratory Analysis of Longitudinal Data of Patients with Dementia through Unsupervised Techniques
  Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini, Davide Chicco