A SYSTEMATIC REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN PEDIATRIC PHYSICAL THERAPY: PAST, PRESENT, AND FUTURE

Background: Articial intelligence (AI) is one of the active research elds to develop systems that mimic human intelligence and is helpful in many elds, particularly in medicine. Physiotherapy is mainly involving in curing bone-related pain and injuries. The recent emergence of articially intelligent machines has seen human cognitive capacity enhanced by computational agents that can recognize previously hidden patterns within massive data sets. In this context, articial intelligence in pediatric physiotherapy could be one of the most important modalities in delivering better medical and healthcare services to needy people. It is an attempt to identify the types, as well as to assess the effectiveness of interventions provided by articial intelligence on pediatric physical therapy optimization-related outcomes. Methods: Data acquisition was carried out by systematic searches from various academic and research databases i.e., google scholar, PubMed, and IEEE from March 2011 to March 2021. Besides, numerous trial registries and grey literature resources were also explored. A total of 187 titles/abstracts were screened, and forty-eight full-text articles were assessed for eligibility. Conclusions: This research describes some of the possible inuences of articial intelligence technologies on pediatric physiotherapy practice, and the subsequent ways in which physiotherapy education will need to change to graduate professionals who are t for practice in the 21st century health system for promoting safe and effective use of articial intelligence and the delivery of Pediatric Physical Therapy care to people