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

Published:April 27, 2022DOI:https://doi.org/10.1016/j.apmr.2022.03.022
      It is well known that cardiometabolic diseases (CMD) such as myocardial infarction, stroke and diabetes are associated with excess mortality and morbidity, and it is broadly accepted that an individual's lifestyle and activity levels are major risk factors.
      • Canoy D
      • Tran J
      • Zottoli M
      • et al.
      Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices.
      This is particularly true for patients who are largely sedentary, have limited mobility, or who find it difficult to maintain adequate levels of physical activity much less achieve the recommended moderate-to-vigorous physical levels for cardiometabolic health. Accordingly, an important challenge for rehabilitation professionals is supporting patients into becoming more active and choosing a healthier lifestyle.
      • Janssen I
      • Clarke AE
      • Carson V
      • et al.
      A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults.

      Keywords

      List of abbreviations:

      AI (artificial intelligence), CMD (cardiometabolic diseases)
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