HC@AIxIA 2022
Artificial Intelligence For Healthcare 2022

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