SPECIAL SESSION #26

Metrology and Machine Learning in Medical Applications

ORGANIZED BY

Criscuolo Sabatina Criscuolo

Sabatina Criscuolo

Università degli Studi di Napoli Federico II, Italy

Pesola Marisa Pesola

Marisa Pesola

Università degli Studi di Napoli Federico II, Italy

ABSTRACT

The intersection of Machine Learning (ML) and medicine heralds a new era of innovation, promising transformative advancements in diagnostics, personalized treatment plans, and healthcare delivery. In this context, metrology is a central element for confidence and quality of ML results.

This special session aims to be a journey dedicated to exploring the frontiers of machine learning in the medical domain within a metrological framework. Specifically, contributions aim to examine how metrology and artificial intelligence can converge to improve diagnostics, monitoring, and treatment of diseases are encouraged.

Participation in this essential dialogue is welcomed, uniting researchers, practitioners, and stakeholders. Valuable insights into original contributions exploring the opportunities offered by the union of metrology and ML, also considering the challenges and limitations that emerge.

TOPICS

Topics of interest include, but are not limited to, the following:

  • Metrology and Machine Learning for medical applications;
  • Machine Learning for Biosignal Analysis and Interpretation;
  • Predictive Modelling and Diagnostic Applications in Personalized Medicine;
  • Explainable Artificial Intelligence for Biomedical Data;
  • Integration of Machine Learning into Clinical Decision Support Systems;
  • Patient Outcome Prediction Models;
  • ML Applications in Neurodegenerative Disease Research.

ABOUT THE ORGANIZERS

Sabatina Criscuolo, received her M.S. degree in biomedical engineering from the University of Naples Federico II in 2021. Currently, she is a Ph.D. student in Information and Communication Technology for Health at the same university. Her research activities focus on artificial intelligence techniques in healthcare applications and processing of biomedical signals.

Marisa Pesola, received the M.S. degree in biomedical engineering from the University of Naples Federico II in 2022. She is currently a Ph.D. student in Computation and Quantitative Biology. Her research interests focus on artificial intelligence methods in healthcare applications and processing of biomedical signals.

WITH THE PATRONAGE OF

University_of_Hertfordshire
bath
unina
unisalento
stiima
unisi
HSMW
POLIBA
UPV
cirmis
arhemlab
res4net
ageit
GMEE