Artificial Intelligence and Applications in PM&R

Abstract

Artificial intelligence methods are being applied broadly in society and increasingly in health care and research. Machine learning, a subset of artificial intelligence, represents the study of algorithms that improve automatically with experience. This article provides a basic overview of artificial intelligence, machine learning categories, common applications in the business sphere, advantages and disadvantages of using this technology, and example applications in rehabilitation and other fields for contextual purposes. The study and implementation of machine learning and artificial intelligence can function to improve patient care and represents a burgeoning area of research.

Artificial intelligence in musculoskeletal conditions

“…AI analyzes the information based on the supplied data but does not solve the problem of causality that exists in medicine in observational data. If there are multiple correlated variables, AI might establish false correlations [2].…”

“…AI is an iterative process by which information is captured and transformed into knowledge, which is then used to modify the environment. It is a broad concept, involving both virtual (computing) and physical (robotics) elements [2]. This article will focus on the virtual aspects.…”

“…AI is widely present in today's society in the form of personal assistants (Alexa, Siri), video-on-demand platforms that display recommendations (Netflix), image and video processing applications (FaceApp) and self-driving vehicles (Tesla) [2].…”

Research and Analysis of Sports Training Real-Time Monitoring System Based on Mobile Artificial Intelligence Terminal

“…Although sports practical computer science has made rapid development in just over ten years and has effectively promoted the progress of sports, we have to calmly see that sports practical computer technology still lags far behind the development of computer science [11]. Anderson studied the related problems in the field of artificial intelligence [12]. Arkhipov proposes "Explanation of Artificial Intelligence: Insights from Social Science" research theory [13].…”

Gamification for Machine Learning in Surgical Patient Engagement

“…Semi-supervised machine learning is being used in Physical Medicine and Rehabilitation science where data from accelerometers can be used to track gait, upper body motion, and falls and predict recovery or decline ( 34 – 36 ). These may track subtle movements or changes in physicality over time that may not be appreciated by a patient undergoing slow progress and may act as a motivating force.…”