Background and Objectives Artificial Intelligence is referred to as the simulation of human intelligence in machines. It has its application in the healthcare industry, where gathering and analysing vast data through algorithms is important to understand the trends in the past and to make accurate future predictions. Methodology The scoping review included the peer-reviewed articles on artificial intelligence and its efficacy in managing diverse disorders through physiotherapy interventions through databases like EBSCO Education Source, Web of Science, Scopus, and PubMed. Results AI seems to be promising in prevention, prediction, accurate assessment, classification, diagnosis, planning of individualised training and rehabilitation protocol, monitoring of home-based programs, and even in determining the prognosis of a condition. Implications Artificial intelligence promotes better diagnosis as well as treatment in the field of physiotherapy. It significantly decreases the effort of the physiotherapist for decision-making for their patients. Artificial intelligence is beneficial for both the patients and healthcare providers.
Bansal et al. (Mon,) studied this question.