Accepted Papers
3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
and 5th Data4SmartHealth (D4SH 2024)
25-28 November 2024, Bolzano, Italy
HC@AIxIA 2025 announced as a joint event with HYDRA and co-located with ECAI 2025.
3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
and 5th Data4SmartHealth (D4SH 2024)
25-28 November 2024, Bolzano, Italy
Niccolò Rocchi, Alice Bernasconi, Alessio Zanga, Alessandro Gronchi, Dario Callegaro, Paolo Giovanni Casali, Salvatore Provenzano, Rosalba Miceli, Annalisa Trama and Fabio Stella. A Causal Discovery Workflow for Rare Cancers: Case Study on Soft Tissue Sarcoma
Sofia Fazio, Patrizia Ribino, Francesca Gasparini, Norbert Marwan, Peppino Fazio, Marco Gherardi and Maria Mannone. A physics-based view of brain-network alteration in neurological disease
Mohammad Hosseinipour, Luca Bergamin, Harel Kotler, Gisella Gennaro and Fabio Aiolli. Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Gabriele Tinè and Rosalba Miceli. A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Gianluca Aguzzi, Matteo Magnini, Stefano Ferretti, Giuseppe Pio Salcuni and Sara Montagna. Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Paulo Vitor de Campos Souza and Mauro Dragoni. Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
Veera Venkata Naga Krishna Chaitanya Atkuri. Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Alessia Calzoni, Mattia Savardi and Alberto Signoroni. Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Luca Marconi, Efrem Pirovano and Federico Cabitza. CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Francisco de Arriba-Pérez and Silvia García-Méndez. Detecting anxiety and depression in dialogues: a multi-label and explainable approach
Marco Serenelli, Michela Quadrini, Maria Óskarsdóttir and Michele Loreti. Encoding Methods Comparison for Stress Detection
Aldo Marzullo and Marta Bianca Maria Ranzini. Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Cinzia Marte and Marco Mochi. Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Alice Bernasconi, Antonio Balordi, Alessio Zanga and Rafael Cabañas. On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Taiwo Kolajo and Olawande Daramola. Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
Marco Locatelli, Roberto Clemens Cerioli, Daniela Besozzi, Arjen Hommersom and Fabio Stella. Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Monica Consolandi, Simone Magnolini and Mauro Dragoni. Risk Communication in Healthcare: The Management of Misunderstandings
Simmera Ndlalane, Olumuyiwa Otegbeye and Absalom Ezugwu. Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization
Pierangela Bruno, Antonio Cirella, Ernesto Di Cesare, Gianluigi Greco, Antonella Guzzo, Pierpaolo Palumbo, Silvano Junior Santini, Gaia Sinatti, Pierpaolo Vittorini, Clara Balsano and Francesco Calimeri. To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Mauro Dragoni, Gianluca Apriceno and Tania Bailoni. Validating a Functional Status Knowledge Graph in a Large-scale Living Lab
Andrea Basile, Fabio Calefato, Filippo Lanubile, Giancarlo Logroscino, Giulio Mallardi and Benedetta Tafuri. A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Fabio Angeli. An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco and Francesca Gasparini. Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Janneke Bolt, Anna Berghuis, Arjen Hommersom, Marike Lombaers, Johanna Pijnenborg and Silja Renooij. Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Andrea Monaldini, Alina Vozna and Stefania Costantini. Blueprint Personas in Digital Health Transformation
Megan Macrì, Pierangela Bruno and Carmine Dodaro. Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Saba Ghanbari Haez, Marina Segala, Monica Consolandi and Mauro Dragoni. Doctor, is it normal? Enabling medical chatbots to provide certified replies to normalcy questions
Edoardo De Rose, Carlo Adornetto, Francesco Calimeri and Gianluigi Greco. Features selection throught autoencoder filtering and DeepShap: an iterative algorithm
Luigi Portinale, Giorgio Leonardi and Andrea Santomauro. Similarity-based positional encoding for enhanced classification in medical images
Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco and Alessandro Quarta. AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Behnam Yousefi, Federico Melograna, Gianluca Galazzo, Niels van Best, Monique Mommers, John Penders, Benno Schwikowski and Kristel Van Steen. Capturing the dynamics of microbial interactions through individual-specific networks
Rupali Khatun, Soumick Chatterjee, Bert Christoph, Martin Wadepohl, Oliver J. Ott, Sabine Semrau, Rainer Fietkau, Andreas Nürnberger, Udo Gaipl and Benjamin Frey. Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Gebreyowhans Hailekiros Bahre, Hassan Hamidi, Andrew Sellergren, Leo Anthony Celi, Francesco Calimeri and Laleh Seyyed-Kalantari. Fairness Of AI Models in vector embedded Chest X-ray representations
Alessio Zanga, Alice Bernasconi, Peter J.F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari and Anthony C. Constantinou. Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte and Simona Perri. IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Benedetta Salvatori, Silke Wegener, Grammata Kotzaeridi, Annika Herding, Florian Eppel, Iris Dressler-Steinbach, Wolfgang Hernich, Agnese Piersanti, Micaela Morettini, Andrea Tura and Christian Göbl. Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Zuqi Li, Federico Melograna, Hanne Hoskens, Diane Duroux, Mary Marazita, Susan Walsh, Seth Weinberg, Mark Shriver, Bertram Müller-Myhsok, Peter Claes and Kristel Van Steen. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger and Soumick Chatterjee. SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss