|  | Vol-3880 urn:nbn:de:0074-3880-0 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# HC@AIxIA 2024
Artificial Intelligence For Healthcare 2024

### Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024)

### Bolzano, Italy, 27-28 November 2024.

Edited by

### Francesco Calimeri *,**
Mauro Dragoni ***
Fabio Stella ****

* University of Calabria, Rende, Italy
** DLVSystem Srl, Rende, Italy
*** Fondazione Bruno Kessler, Trento, Italy
**** Università di Milano-Bicocca, Milano, Italy

## Table of Contents

- Summary: There were a total of 51 papers submitted for peer-review to this workshop. Out of these, 28 papers were accepted for this volume, 18 as regular papers and 9 as short papers. 9 more papers were part of the technical program of HC@AIxIA 2024, but are not included in this volume, as they were non-original works (i.e., already published or submitted elsewhere).

### Papers

- CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies 1--14
  Luca Marconi, Efrem Pirovano, Federico Cabitza
- Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab 15--29
  Mauro Dragoni, Gianluca Apriceno, Tania Bailoni
- To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models 30--39
  Pierangela Bruno, Antonio Cirella, Ernesto Di Cesare, Gianluigi Greco, Antonella Guzzo, Pierpaolo Palumbo, Silvano Junior Santini, Gaia Sinatti, Pierpaolo Vittorini, Francesco Calimeri, Clara Balsano
- Blueprint Personas in Digital Health Transformation (SHORT PAPER) 40--49
  Andrea Monaldini, Alina Vozna, Stefania Costantini
- Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization 50--63
  Simmera Ndlalane, Olumuyiwa Otegbeye, Absalom Ezugwu
- Features Selection Through Autoencoder Filtering and Deepshap: an Iterative Algorithm (SHORT PAPER) 64--70
  Edoardo De Rose, Carlo Adornetto, Francesco Calimeri, Gianluigi Greco
- "Doctor, Is It Normal?" Enabling Medical Chatbots to Provide Certified Replies to Normalcy Questions (SHORT PAPER) 71--77
  Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Saba Ghanbari Haez, Marina Segala, Monica Consolandi, Mauro Dragoni
- An Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework 78--92
  Gabriele Tinè, Rosalba Miceli
- Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues 93--107
  Alessia Calzoni, Mattia Savardi, Alberto Signoroni
- Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support (SHORT PAPER) 108--115
  Janneke Bolt, Anna Berghuis, Arjen Hommersom, Marike Lombaers, Johanna Pijnenborg, Silja Renooij
- Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment 116--129
  Marco Locatelli, Roberto Clemens Cerioli, Daniela Besozzi, Arjen Hommersom, Fabio Stella
- Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI 130--145
  Taiwo Kolajo, Olawande Daramola
- Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals 146--157
  Paulo Vitor de Campos Souza, Mauro Dragoni
- Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? 158--168
  Aldo Marzullo, Marta Bianca Maria Ranzini
- A Physics-Based View of Brain-Network Alteration in Neurological Disease 169--181
  Sofia Fazio, Patrizia Ribino, Francesca Gasparini, Norbert Marwan, Peppino Fazio, Marco Gherardi, Maria Mannone
- Similarity-Based Positional Encoding for Enhanced Classification in Medical Images (SHORT PAPER) 182--188
  Luigi Portinale, Giorgio Leonardi, Andrea Santomauro
- Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients 189--201
  Gianluca Aguzzi, Matteo Magnini, Stefano Ferretti, Giuseppe Pio Salcuni, Sara Montagna
- CHAT(Child Helper and Assistant Tool): An AI-Based Educational Tool for Supporting Neurodiverse Children with Autism, Dyscalculia, and DSA (SHORT PAPER) 202--210
  Fabio Angeli
- On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors 211--223
  Alice Bernasconi, Antonio Balordi, Alessio Zanga, Rafael Cabañas
- Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images (SHORT PAPER) 224--232
  Megan Macrì, Pierangela Bruno, Carmine Dodaro
- Nuclear Medicine Rescheduling Problem: A Logic-based Approach 233--246
  Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Cinzia Marte, Marco Mochi
- Analyzing Trajectories of Clinical Markers in Patients with Sepsis Through Multivariate Longitudinal Clustering (SHORT PAPER) 247--256
  Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
- Detecting Anxiety and Depression in Dialogues: a Multi-Label and Explainable Approach 257--271
  Francisco de Arriba-Pérez, Silvia García-Méndez
- A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model (SHORT PAPER) 272--280
  Andrea Basile, Fabio Calefato, Filippo Lanubile, Giancarlo Logroscino, Giulio Mallardi, Benedetta Tafuri
- Risk Communication in Healthcare: The Management of Misunderstandings 281--295
  Monica Consolandi, Simone Magnolini, Mauro Dragoni
- Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks 296--310
  Mohammad Hosseinipour, Luca Bergamin, Harel Kotler, Gisella Gennaro, Fabio Aiolli
- Encoding Methods Comparison for Stress Detection 311--320
  Marco Serenelli, Michela Quadrini, Maria Óskarsdóttir, Michele Loreti

### Non-original papers presented to HC@AIxIA 2024 (refer to the official website for details and URIs/DOIs)

- Identification and Validation of Gestational Diabetes Subgroups by Data-Driven Cluster Analysis
  Benedetta Salvatori, Silke Wegener, Grammata Kotzaeridi, Annika Herding, Florian Eppel, Iris Dressler-Steinbach, Wolfgang Hernich, Agnese Piersanti, Micaela Morettini, Andrea Tura, Christian Göbl
- Capturing the Dynamics of Microbial Interactions Through Individual-Specific Networks
  Behnam Yousefi, Federico Melograna, Gianluca Galazzo, Niels van Best, Monique Mommers, John Penders, Benno Schwikowski, Kristel Van Steen
- Complex-Valued Neural Networks to Speed-up MR Thermometry During Hyperthermia Using Fourier PD and PDUNet
  Rupali Khatun, Soumick Chatterjee, Bert Christoph, Martin Wadepohl, Oliver J. Ott, Sabine Semrau, Rainer Fietkau, Andreas Nürnberger, Udo Gaipl, Benjamin Frey
- netMUG: a Novel Network-Guided Multi-View Clustering Workflow for Dissecting Genetic and Facial Heterogeneity
  Zuqi Li, Federico Melograna, Hanne Hoskens, Diane Duroux, Mary Marazita, Susan Walsh, Seth Weinberg, Mark Shriver, Bertram Müller-Myhsok, Peter Claes, Kristel Van Steen
- IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
  Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte, Simona Perri
- SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
  Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger, Soumick Chatterjee
- AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
  Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco, Alessandro Quarta
- Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
  Alessio Zanga, Alice Bernasconi, Peter J.F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Anthony C. Constantinou
- Fairness Of AI Models in Vector Embedded Chest X-Ray Representations
  Gebreyowhans Hailekiros Bahre, Hassan Hamidi, Andrew Sellergren, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari

2024-12-05: submitted by Francesco Calimeri, metadata incl. bibliographic data published under Creative Commons CC0
2024-12-22': published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|