|  | Vol-3307 urn:nbn:de:0074-3307-1 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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 2022
Artificial Intelligence For Healthcare 2022

### 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022)
co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022)

### Udine, Italy, November 30 2022.

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 12 original papers submitted for peer-review to this first edition of the workshop, which is intended to establish a series. Out of these, 9 papers were accepted for this volume: 7 as full papers and 2 as short papers. 13 more papers were part of the technical program of HC@AIxIA 2022, but are not included in this volume, as they were non-original works (i.e., already published or submitted elsewhere).

### Papers

- Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach 1-15
  Alessio Zanga, Alice Bernasconi, Peter Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
- A multimodal approach to automated generation of radiology reports using contrastive learning (SHORT PAPER) 16-23
  Andrea Santomauro, Luigi Portinale, Giorgio Leonardi
- Arteriovenous fistula flow level prediction through ordinal classifier methods (SHORT PAPER) 24-30
  Mario Garbelli, Francesco Bellocchio, Luca Neri
- Modeling a Functional Status Knowledge Graph For Personal Health 31-46
  Tania Bailoni, Mauro Dragoni, Ivan Donadello
- Machine learning for automated gating of flow cytometry data 47-56
  Muhammad Suffian, Sara Montagna, Alessandro Bogliolo, Claudio Ortolani, Stefano Papa, Mario D'Atri
- Explainable Classification of Medical Documents Through a Text-to-Text Transformer 57-66
  Mihai Horia Popescu, Kevin Roitero, Vincenzo Della Mea
- Continual Learning for medical image classification 67-76
  Alessandro Quarta, Pierangela Bruno, Francesco Calimeri
- Detection of Adverse Drug Events from Social Media Texts - Research Project Overview 77-86
  Simone Scaboro, Beatrice Portelli, Giuseppe Serra
- Road Accidents: Information Extraction from Clinical Reports 87-97
  Enrico Mensa, Daniele Liberatore, Davide Colla, Matteo Delsanto, Marco Giustini, Daniele P. Radicioni

### Non-original papers presented to HC@AIxIA 2022

- An ASP-based Approach to Master Surgical Scheduling
  Linda Cademartori, Giuseppe Galatà, Carola Lo Monaco, Marco Maratea, Marco Mochi, Marco Schouten
- Spatiotemporal learning of dynamic Positron Emission Tomography data improves diagnostic accuracy in breast cancer
  Marianna Inglese, Matteo Ferrante, Andrea Duggento, Tommaso Boccato, Nicola Toschi
- End-to-end facial-landmark detection to assess dysarthria evolution
  Lucia Migliorelli, Francesco Alborino, Lorenzo Scoppolini Massini, Daniele Berardini, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia
- GLARE-Edu: A CIG-based approach for medical education
  Alessio Bottrighi, Federica Grosso, Marco Ghiglione, Antonio Maconi, Luca Piovesan, Annalisa Roveta, Paolo Terenziani
- Ultrasound Detection of Subquadricipital Recess Distension
  Marco Colussi, Gabriele Civitarese, Dragan Ahmetovic, Claudio Bettini, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti
- BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks
  Matteo Ferrante, Tommaso Boccato, Nicola Toschi
- An annotated dataset for extracting gene-melanoma relations from scientific literature
  Roberto Zanoli, Alberto Lavelli, Fabio Rinaldi
- Converting Biologically Plausible Networks into Trainable Neural Architectures
  Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
- Semantic Coherence Markers for the Early Diagnosis of the Alzheimer Disease
  Davide Colla, Matteo Delsanto, Marco Agosto, Benedetto Vitiello, Daniele P. Radicioni
- Towards computer-assisted laryngoscopy for diagnostic support
  Francesca Pia Villani, Sara Moccia, Emanuele Frontoni
- An Intertwined Neural Network model for EEG classification
  Andrea Duggento, Mario de Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi
- AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning
  Andrea Bernardini, Andrea Brunello, Gian Luigi Gigli, Angelo Montanari, Nicola Saccomanno
- Some ethical remarks on Deep Learning-based movements monitoring for preterm infants: Green AI or Red AI?
  Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco, Sara Moccia

2022-12-20: submitted by Francesco Calimeri, metadata incl. bibliographic data published under Creative Commons CC0
2022-12-20: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|