AI-Care: Artificial Intelligence for

preterm infants’ healthCare

Workshop @

21st International Conference on IMAGE ANALYSIS AND PROCESSING

May 23, 2022, Lecce (Italy)


Submission at: https://cmt3.research.microsoft.com/AICARE2022/Submission/Index

Sara Moccia

Scuola Superiore Sant'Anna

Lucia Migliorelli

Unviersità Politecnica delle Marche

Silvia Orlandi

Università degli Studi di Bologna

Emanuele Frontoni

Università degli Studi di Macerata

Unviersità Politecnica delle Marche

Statement of objectives

Every year there are more than fifteen million worldwide preterm births and the number of cases is still growing. In almost all high-income countries, complications of preterm birth (such as brain and lung complications) are the largest direct cause of neonatal death. The clinical literature has also reported a markedly increased prevalence of autism spectrum disorder (ASD) in preterm populations. Preterm infants spend the first months of their lives in neonatal intensive care units (NICUs), where they are constantly monitored through sensors and imaging systems. Despite the large number and variety of data collected, the potential of artificial intelligence (AI) in the field has still to be fully unlocked.

Intended audience

The goal of this workshop is to group expert AI researchers in the field of preterm infants monitoring to discuss the most recent research work and highlight current challenges and needs. As a result of the workshop, a network of universities, hospitals and stakeholders will be established to draw a roadmap for future AI applications in the field of image analysis for preterm infants monitoring.

List of invited speakers

Sophia Bano, PhD - Wellcome/EPSRC Centre for Interventional and Surgical Sciences and Department of Computer Science, University College London (UK)

Andrea Bandini, PhD - The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna (Italy)

Alessio Correani, PhD - Department of Mother and Child Health, Division of Neonatology, G. Salesi Children’s Hospital – Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona (Italy)

Call for contributions

The workshop calls for research contributions addressing, but not limited to, the following topics:

● Machine and deep learning for motor and respiratory analysis during pregnancy and in NICUs

● Artificial intelligence for diagnosis, prognosis and followup, with a focus on ASD

● Generative models and semi-supervised approaches

● Data collection in NICUs and annotation strategies

● Artificial intelligence for data analysis in domestic settings

Artificial intelligence for ultrasound fetal image processing

● Artificial intelligence for fetoscopy image processing

● Artificial intelligence for multiple data source processing



IMPORTANT DATES

Paper Submission Deadline: March 25, 2022

Revision Deadline: March 30, 2022

Notification of acceptance: April 08, 2022

Camera ready: April 21, 2022


The two best papers will be awarded with 500€ each, with the kind support of Il Faro Sociale and TechSoup Italia.


SUBMISSION LINK: https://cmt3.research.microsoft.com/AICARE2022/Submission/Index

Accepted Papers will be published by Springer LNCS.


While preparing their contributions, authors must follow guidelines and technical instructions provided by Springer that can be found at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

The maximum number of pages is 10 + 2 pages for references. Papers will be selected through a single-blind review process.

WORKSHOP PROGRAM

  1. Opening and introduction

  2. Invited talks

  3. Oral Presentations

  4. Best paper award session

  5. Closing remarks

Program committee


Sara Moccia, PhD - The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna - sara.moccia@santannapisa.it


Silvia Orlandi, PhD - Department of Electrical, Electronic, and Information Engineering — Guglielmo Marconi, Alma Mater Studiorum - Università di Bologna - silvia.orlandi9@unibo.it


Lucia Migliorelli – Department of Information Engineering, Università Politecnica delle Marche – l.migliorelli@pm.univpm.it


Alessandro Cacciatore - Department of Humanities, Languages, Mediation, History, Arts, Philosophy, Università di Macerata - a.cacciatore1@unimc.it