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Strategic research agenda for biomedical imaging

Authors :
C. Matos
W. Niessen
Karen Rosendahl
M. Gunther
Yun Liu
Philippe L. Pereira
C. Garos
U. Mayerhofer-Sebera
Christoph Hoeschen
Xavier Golay
Marc Dewey
A. Frangi
M. G. Myriam Hunink
Michal Neeman
H. Barthel
Steven Sourbron
Antonio Pifferi
V. Valentini
Gabriel P. Krestin
V. Dousset
Hans-Ulrich Kauczor
P. Gordebeke
M. Crean
A. Alberich
Konstantin Nikolaou
Andrea Rockall
Oliver Speck
A. Almen
H. Hahn
Luis Martí-Bonmatí
Owen J. Arthurs
F. Demuth
Katrine Riklund
Georg Langs
Silvio Aime
N. de Souza
K. Krischak
Olivier Clément
Francesco Sardanelli
Anders Persson
M. Hierath
P. Zolda
Jonathan P. McNulty
K. Muylle
Imperial College Healthcare NHS Trust- BRC Funding
Source :
Insights into Imaging, Insights into Imaging, Vol 10, Iss 1, Pp 1-14 (2019)
Publication Year :
2019
Publisher :
SPRINGEROPEN, 2019.

Abstract

This Strategic Research Agenda identifies current challenges and needs in healthcare, illustrates how biomedical imaging and derived data can help to address these, and aims to stimulate dedicated research funding efforts.Medicine is currently moving towards a more tailored, patient-centric approach by providing personalised solutions for the individual patient. Innovation in biomedical imaging plays a key role in this process as it addresses the current needs for individualised prevention, treatment, therapy response monitoring, and image-guided surgery.The use of non-invasive biomarkers facilitates better therapy prediction and monitoring, leading to improved patient outcomes. Innovative diagnostic imaging technologies provide information about disease characteristics which, coupled with biological, genetic and -omics data, will contribute to an individualised diagnosis and therapy approach.In the emerging field of theranostics, imaging tools together with therapeutic agents enable the selection of best treatments and allow tailored therapeutic interventions.For prenatal monitoring, the use of innovative imaging technologies can ensure an early detection of malfunctions or disease.The application of biomedical imaging for diagnosis and management of lifestyle-induced diseases will help to avoid disease development through lifestyle changes.Artificial intelligence and machine learning in imaging will facilitate the improvement of image interpretation and lead to better disease prediction and therapy planning.As biomedical imaging technologies and analysis of existing imaging data provide solutions to current challenges and needs in healthcare, appropriate funding for dedicated research is needed to implement the innovative approaches for the wellbeing of citizens and patients. ispartof: INSIGHTS INTO IMAGING vol:10 issue:1 ispartof: location:Germany status: published

Details

Language :
English
ISSN :
18694101
Database :
OpenAIRE
Journal :
Insights into Imaging, Insights into Imaging, Vol 10, Iss 1, Pp 1-14 (2019)
Accession number :
edsair.doi.dedup.....d993c3686c55fadde8ecde970b7d2043