Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth with Disabilities
Signature of the Researcher:
Student Name : Jai. G
BPT IV year
Saveetha College of physiotherapy,
Thandalam,
Chennai – 602105.
Signature of the Guide:
Dr. Senthil Kumar. N
Assosiate professor
Saveetha College of physiotherapy,
Thandalam,
Chennai – 602105.
1. Research Question:
Will there be any effective change of Artificial Intelligence in childrens with disability?
2. Introduction:
Artificial intelligence (AI) is defined as area of science and engineering concerned with the computational understanding of what is often referred to as intelligent behaviour, as well as the design of artefacts that display such behaviour. The modern field of AI began at Dartmouth College in 1956. AI will have a huge impact on our society and experts say that now is the time to prepare for a rapidly-changing, AI-powered economy. These devices behave more like socially inter active beings than machines – communicating via spoken [1].Robots have been used in interventions on children at different levels of impairment in different ways including supporting therapeutic activities, being personal assistants, facilitating social integration, supporting school activities, and promoting exploration, learning, and engagement in play [2]. The use of robots to promote development in children with disabilities has been oriented to address the needs of children with motor, cognitive, and developmental disorders.AI has begun to impact the ways that many children live, learn, and play. Prior work has shown that young children perceive and respond in rich ways to the non-verbal cues of social robots including back-channeling, attentive behavior, and vocal expressivity and tend to ascribe emotional states, mental states, intentionality, and morality to intelligent social artifacts.Robotics are applied mainly on children with cerebral palsy (CP) as support during therapeutic activities to increase mobility, improve motor control [3,4], gait and as a aiding device.The AI devices used in medical field includes sensor devices, robotic devices, clinical decision support systems,3D motion analysis [5] SWORD health, KAIA health, PHYSITRACK [6]. There are two types of AI applications in medicine: virtual and physical. Machine Learning is a virtual component that is represented by mathematical algorithms that increase learning via experience. Unsupervised, supervised and reinforcement learning are the types of machine learning [7]. Physical items, medical devices, and more complex robots participating in the delivery of care represent the second type of AI application in medicine.
