The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review.

Journal: JMIR mHealth and uHealth
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform health care again by opening new opportunities in patient care and medical research.

Authors

  • Ricardo Smits Serena
    Department of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Florian Hinterwimmer
    Department of Orthopaedics and Sports Orthopaedics, Klinikum Rechts der Isar, Technical University Munich, Ismaningerstr. 22, 81675, Munich, Germany. florian.hinterwimmer@tum.de.
  • Rainer Burgkart
    From the Department of Radiology (C.E.v.S., V.S.S., Y.L., F.G.G., S.C.F., F.T.G., M.R.M., K.W., A.S.G.), Department for Orthopedics and Orthopedic Sports Medicine (N.J.W., C.K., R.v.E., R.B.), and Institute of Pathology (C.M.), Klinikum Rechts der Isar, Technische Universität München, Ismaninger Str 22, 81675 Munich, Germany; and the Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (M.J., P.M.J., M.F.R.).
  • Rüdiger von Eisenhart-Rothe
    Klinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der TU München, München, Deutschland.
  • Daniel Rueckert
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK. Electronic address: d.rueckert@imperial.ac.uk.