SPECIAL SESSION #41

Medical Image Digital Transformation

ORGANIZED BY

Gargiulo Paolo Gargiulo

Paolo Gargiulo

Reykjavik University, Iceland

ABSTRACT

In recent years, advancements in medical imaging technology, coupled with the integration of artificial intelligence (AI) and virtual reality (VR), have revolutionized the field of healthcare. This special issue aims to explore cutting-edge research and applications in image segmentation, 3D model rendering, VR-based surgical planning, virtual histology, medical image feature extraction, and the utilization of AI in medical imaging data analysis. on practical, project-based learning to foster a deeper understanding and implementation of these innovative techniques in healthcare.

TOPICS

The list of topics of interest includes (but is not limited to):

  • Advancements in virtual histopathology techniques for non-invasive tissue characterization;
  • Potential applications in early disease detection, treatment monitoring, and pathology education;
  • Methods for generating accurate three-dimensional models from medical imaging data. Utilization of rendered models for surgical simulation, training, and patient education. Virtual Reality and 3D Printing for Surgical;
  • Extraction of clinically relevant features from medical images using machine learning and deep learning algorithms. Automation of image analysis tasks for improved efficiency and diagnostic accuracy.

ABOUT THE ORGANIZERS

Paolo Gargiulo, is a full Professor at Reykjavik University. He studied at TU Wien and finished his PhD in 2009. He developed at Landspitali a 3D-Printing service to support surgical planning with over with a significant impact on the Icelandic health care system and he currently cooperates with institutions in Italy and UK to establish similar infrastructures. Paolo Gargiulo is the director of the Institute of Biomedical and Neural Engineering and medical technology center at the University Hospital Landspitali/ Reykjavik University. Paolo´s lab currently includes the following facilities: high density Electroencephalographic system (256-EEG), Postural control platform and Virtual reality system and 3D printing and additive manufacturing center.

WITH THE PATRONAGE OF

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