The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine

Isabelle Miederer; Julian Manuel Michael Rogasch; Regina Fischer; Timo Fuchs; Constantin Lapa; Philipp Lohmann; Kuangyu Shi; Johannes Tran-Gia; Thomas Wendler; Dirk Hellwig

doi:10.1055/a-2067-7642

Nuklearmedizin - NuclearMedicine, Table of Contents

Nuklearmedizin 2023; 62(05): 276-283
DOI: 10.1055/a-2067-7642

Review

The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine

Die Medizininformatik-Initiative und das Netzwerk Universitätsmedizin – Perspektiven für die Nuklearmedizin

Isabelle Miederer

¹Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (Ringgold ID: RIN39068)

,

Julian Manuel Michael Rogasch

²Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Berlin, Germany (Ringgold ID: RIN14903)

³Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany

,

Regina Fischer

⁴Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

⁵Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany

⁶Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

,

Timo Fuchs

⁴Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

⁵Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany

⁶Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

,

Constantin Lapa

⁷Nuclear Medicine, Medical Faculty, University of Augsburg, Augsburg, Germany (Ringgold ID: RIN26522)

⁸Bavarian Center for Cancer Research (BZKF), Partner Site Augsburg, Augsburg, Germany

,

Philipp Lohmann

⁹Institute of Neuroscience and Medicine (INM-4), Research Center Juelich (FZJ), Juelich, Germany

,

Kuangyu Shi

¹⁰Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (Ringgold ID: RIN27210)

,

Johannes Tran-Gia

¹¹Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany (Ringgold ID: RIN27207)

¹²Bavarian Center for Cancer Research (BZKF), Partner Site Würzburg, Würzburg, Germany

,

Thomas Wendler

¹³Chair for Computer-Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany (Ringgold ID: RIN9184)

,

Dirk Hellwig

⁴Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

⁵Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany

⁶Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)

› Author Affiliations

Abstract

Digitization in the healthcare sector and the support of clinical workflows with artificial intelligence (AI), including AI-supported image analysis, represent a great challenge and equally a promising perspective for preclinical and clinical nuclear medicine. In Germany, the Medical Informatics Initiative (MII) and the Network University Medicine (NUM) are of central importance for this transformation. This review article outlines these structures and highlights their future role in enabling privacy-preserving federated multi-center analyses with interoperable data structures harmonized between site-specific IT infrastructures. The newly founded working group “Digitization and AI” in the German Society of Nuclear Medicine (DGN) as well as the Fach- und Organspezifische Arbeitsgruppe (FOSA, specialty- and organ-specific working group) founded for the field of nuclear medicine (FOSA Nuklearmedizin) within the NUM aim to initiate and coordinate measures in the context of digital medicine and (image-)data-driven analyses for the DGN.

Keywords

Digitalization - Data integration - Harmonization - Federated learning - Multi-centric analysis

Full Text

References

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