HC@AIXIA 2024: 3RD AIXIA WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR HEALTHCARE (HC@AIXIA 2024)
SLIDES

Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients

Gianluca Aguzzi, Matteo Magnini, Giuseppe Pio Salcuni, Stefano Ferretti and Sara Montagna

An Educational Approach for Neurodiverse Children Using AI: a Case Study on DSA, Autism, and Dyscalculia

Fabio Angeli

Blueprint Personas in Digital Health Transformation

Andrea Monaldini, Alina Vozna and Stefania Costantini

Nuclear Medicine Rescheduling Problem: a Logic-Based Approach

Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Cinzia Marte and Marco Mochi

Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images

Megan Macrì, Pierangela Bruno and Carmine Dodaro

Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab

Mauro Dragoni, Gianluca Apriceno and Tania Bailoni

Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals

Paulo Vitor de Campos Souza and Mauro Dragoni

Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment

Marco Locatelli, Roberto Clemens Cerioli, Daniela Besozzi, Arjen Hommersom and Fabio Stella

Addressing Challenges in Image Translation for Contrast-Enhanced Mammography Using Generative Adversarial Networks

Mohammad Hosseinipour, Luca Bergamin, Harel Kotler, Gisella Gennaro and Fabio Aiolli

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 and Soumick Chatterjee

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 and Benjamin Frey

CLARITY AI: a Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies

Luca Marconi, Efrem Pirovano and Federico Cabitza

A Physics-Based View of Brain-Network Alteration in Neurological Disease

Sofia Fazio, Patrizia Ribino, Francesca Gasparini, Norbert Marwan, Peppino Fazio, Marco Gherardi and Maria Mannone

Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations

Simmera Ndlalane, Olumuyiwa Otegbeye and Absalom Ezugwu

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There yet?

Aldo Marzullo and Marta Bianca Maria Ranzini

Analyzing Trajectories of Clinical Markers in Patients with Sepsis Through Multivariate Longitudinal Clustering

Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco and Francesca Gasparini

Identification and Validation of Gestational Diabetes Subgroups: a Data-Driven Approach

Benedetta Salvatori, Silke Wegener, Grammata Kotzaeridi, Annika Herding, Florian Eppel, Iris Dressler-Steinbach, Wolfgang Hernich, Agnese Piersanti, Micaela Morettini, Andrea Tura and Christian Gobl

Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues

Alessia Calzoni, Mattia Savardi and Alberto Signoroni

Predicting COVID-19 Post-Vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI

Taiwo Kolajo and Olawande Daramola

A Preliminary Study on Augmenting Neuroimaging Data Using a Diffusion Model

Andrea Basile, Fabio Calefato, Filippo Lanubile, Giancarlo Logroscino, Giulio Mallardi and Benedetta Tafuri

Detecting Anxiety and Depression in Dialogues: a Multi-Label and Explainable Approach

Francisco de Arriba-Pérez and Silvia García-Méndez

A-MALA: a New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework

Gabriele Tinè and Rosalba Miceli

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 and Anthony C. Constantinou

Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma

Niccolò Rocchi, Alice Bernasconi, Alessio Zanga, Alessandro Gronchi, Dario Callegaro, Paolo Giovanni Casali, Salvatore Provenzano, Rosalba Miceli, Annalisa Trama and Fabio Stella

Similarity-Based Positional Encoding for Enhanced Classification in Medical Images

Luigi Portinale, Giorgio Leonardi and Andrea Santomauro

Fairness of AI Models in Vector Embedded Chest X-Ray Datasets

Gebreyowhans Hailekiros Bahre, Hassan Hamidi, Andrew Sellergren, Leo Anthony Celi, Francesco Calimeri and Laleh Seyyed-Kalantari

On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors

Alice Bernasconi, Antonio Balordi, Alessio Zanga and Rafael Cabañas
Total: 27 presentations.