A Concept for Integrating AI-Based Support Systems into Clinical Practice.

Journal: Studies in health technology and informatics
PMID: 39176823

Abstract

The integration of artificial intelligence (AI) algorithms into clinical practice holds immense potential to improve patient care, but widespread adoption still faces significant challenges, including interoperability issues. We propose a concept for the agile development of an IT platform to integrate AI-based applications into clinical workflows for a use case in ophthalmology.

Authors

  • Katja Hoffmann
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Richard Gebler
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Sophia Grummt
    Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Yuan Peng
    Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Ines Reinecke
    Data Integration Center, Center for Medical Informatics, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Markus Wolfien
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Martin Sedlmayr
    Department of Medical Informatics, Biometrics and Epidemiology, Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuremberg, Wetterkreuz 13, 91058 Erlangen-Tennenlohe, Germany. Electronic address: martin.sedlmayr@fau.de.

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