Artificial Intelligence and Data-Driven Rehabilitation: The Next Frontier in the Management of Cardiometabolic Disorders

Affiliations

¹ Western Norway University of Applied Sciences, Bergen, Norway. Electronic address: mike.landry@hvl.no.
² Western Norway University of Applied Sciences, Bergen, Norway.
³ IMEC IDLab, University of Antwerp, Antwerp, Belgium.
⁴ The University of Lincoln, UK.
⁵ Faculty of Medicine and Rehabilitation Sciences, MOVANT, University of Antwerp, Antwerp, Belgium. Electronic address: mike.landry@hvl.no.
⁶ Faculty of Sciences, Hasselt University, Diepenbeek, Belgium.
⁷ Faculty of Rehabilitation Sciences, BIOMED/REVAL, Hasselt University, Diepenbeek, and Jessa Hospital, Heart Centre Hasselt, Hasselt, Belgium.
⁸ Faculty of Medicine and Rehabilitation Sciences, MOVANT, University of Antwerp, Antwerp, Belgium.

Editorial

Michel D Landry et al. Arch Phys Med Rehabil. 2022 Aug.

. 2022 Aug;103(8):1693-1695.

doi: 10.1016/j.apmr.2022.03.022. Epub 2022 Apr 27.

¹ Western Norway University of Applied Sciences, Bergen, Norway. Electronic address: mike.landry@hvl.no.
² Western Norway University of Applied Sciences, Bergen, Norway.
³ IMEC IDLab, University of Antwerp, Antwerp, Belgium.
⁴ The University of Lincoln, UK.
⁵ Faculty of Medicine and Rehabilitation Sciences, MOVANT, University of Antwerp, Antwerp, Belgium. Electronic address: mike.landry@hvl.no.
⁶ Faculty of Sciences, Hasselt University, Diepenbeek, Belgium.
⁷ Faculty of Rehabilitation Sciences, BIOMED/REVAL, Hasselt University, Diepenbeek, and Jessa Hospital, Heart Centre Hasselt, Hasselt, Belgium.
⁸ Faculty of Medicine and Rehabilitation Sciences, MOVANT, University of Antwerp, Antwerp, Belgium.

No abstract available

Keywords: Artificial intelligence; CVA (Cerebrovascular Accident); Machine intelligence; Physical activity; Rehabilitation.

Publication types