The impact of developing a rehabilitation program based on artificial intelligence approaches in improving some physical characteristics of patients with lower back pain

Abstract

The research aims to identify the importance of artificial intelligence in developing rehabilitation programs and to assess the applicability and impact of the program on certain physical variables and pain levels for individuals suffering from lower back pain. The research problem centers on the fact that lower back pain is a prevalent injury in Iraq, largely caused by weakness in the muscles supporting the spine, obesity, or poor habits such as lack of movement or incorrect movement, which is considered the most significant contributing factor to the widespread occurrence of lower back injuries. During their observations of several hospitals and private clinics for sports injuries, the researchers found that most individuals experienced weakness in the supporting muscles, resulting in an inability to endure walking or moving for short or long periods. This, in turn, significantly impacts their ability to perform daily tasks. A random sample of individuals with lower back pain was selected, ranging in age from 35 to 40 years, consisting of 10 male participants only. The researchers employed an experimental methodology, as it is the most suitable approach to address the research problem. The sample was divided into two equal groups, each consisting of five participants. Preliminary tests were conducted after explaining the research objectives to the participants and obtaining their formal consent on October 3, 2024. The post-tests were held on December 4, 2024, in the rehabilitation and physical therapy lab at the College of Physical Education and Sports Science, University of Babylon. The tests included various physical variables such as back muscle strength, trunk flexibility, and pain levels. The researchers concluded that scientifically-based rehabilitation using artificial intelligence programs plays a significant role in improving the examined variables for individuals with lower back pain.