A review of applications of artificial intelligence in cardiorespiratory rehabilitation

Implementations of artificial intelligence and machine learning are becoming commonplace in multiple application domains. This is in part due to advancements in computing hardware that have helped outsource the computation of resource-intensive mathematics related to artificial intelligence and machine learning to the chips of multi-core and parallel computing architectures. Partly it is due to the widespread appeal of machine learning as a suite of handy tools to fix practical issues. Many fields have become beneficiaries of artificial intelligence and machine learning and cardiorespiratory rehabilitation is no exception.