TY - JOUR
T1 - Strategic research agenda for biomedical imaging
AU - The European Institute for Biomedical Imaging Research (EIBIR)
AU - Aime, Silvio
AU - Alberich, Angel
AU - Almen, Anja
AU - Arthurs, Owen
AU - Barthel, Henryk
AU - Clément, Olivier
AU - Crean, Michael
AU - de Souza, Nandita
AU - Demuth, Florian
AU - Dewey, Marc
AU - Dousset, Vincent
AU - Frangi, Alejandro
AU - Garos, Casper
AU - Golay, Xavier
AU - Gordebeke, Peter
AU - Günther, Matthias
AU - Hahn, Horst
AU - Hierath, Monika
AU - Hoeschen, Christoph
AU - Hunink, Myriam
AU - Kauczor, Hans Ulrich
AU - Krestin, Gabriel
AU - Krischak, Katharina
AU - Langs, Georg
AU - Liu, Yan
AU - Marti-Bonmati, Luis
AU - Matos, Celso
AU - Mayerhofer-Sebera, Ulrike
AU - McNulty, Jonathan
AU - Muylle, Kristoff
AU - Neeman, Michal
AU - Niessen, Wiro
AU - Nikolaou, Konstantin
AU - Pereira, Philippe
AU - Persson, Anders
AU - Pifferi, Antonio
AU - Riklund, Katrine
AU - Rockall, Andrea
AU - Rosendahl, Karen
AU - Sardanelli, Francesco
AU - Sourbron, Steven
AU - Speck, Oliver
AU - Valentini, Vincenzo
AU - Zolda, Pamela
N1 - Funding Information:
COCIR is the European Trade Association representing the medical imaging, radiotherapy, health ICT and electromedical industries (www.cocir.org). COCIR is a non-profit association and provides a wide range of services on regulatory, technical, market intelligence, environmental, standardisation, international and legal affairs. COCIR promotes harmonisation of regulatory frameworks, supported by state-of-the-art international standards. Its industry provides safe and high-quality products and services, which contribute to reducing health inequalities and enhance cost efficiency in healthcare systems.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Diagnostic imaging
KW - Precision medicine
KW - Preventive medicine
KW - Radiology
UR - http://www.scopus.com/inward/record.url?scp=85061098367&partnerID=8YFLogxK
U2 - 10.1186/s13244-019-0684-z
DO - 10.1186/s13244-019-0684-z
M3 - Article
AN - SCOPUS:85061098367
VL - 10
JO - Insights into Imaging
JF - Insights into Imaging
IS - 1
M1 - 7
ER -