Artificial intelligence and rehabilitation: what’s new and promising

Abstract

The development of artificially intelligent technological machine systems that can integrate large volumes of data, and also ‘learn’ to recognize notable patterns, are currently being widely discussed and employed in various health and other realms. In this regard, what promise do these systems hold for ameliorating the late life chronic disease burden of increasing numbers of adults globally that may stem from one or multiple chronic longstanding health conditions. To explore this issue, a broad exploration of rehabilitation associated artificial intelligence implications was conducted using leading data bases. Results show that there are some active advances in both artificial intelligence and machine learning realms, but not in the context of desirable robust observations in all cases. Much future work is indicated though and is strongly recommended.