Researchers from Alnoor University, the University of Mosul, and the Ministry of Health Publish a Scientific Paper in an International Scopus-Indexed (Q2) Journal

As part of a new scientific achievement that reflects Alnoor University's distinguished research presence, a study has been published Professor Dr. Nazim Shakir AlwattarThe Head of the Department of Physical Education and Sports Sciences at the College of Education, Alnoor University, in collaboration with a research team comprising Lecturer Mohammed Yaqdhan Saleh from the Department of Physical Education and Sports Sciences, College of Basic Education, University of Mosul; Waseem Bashar Thanoon from Alhawija General Hospital, Kirkuk Health Directorate, Iraqi Ministry of Health; and Ahmed Yaqdhan, has published a scientific research paper in the International Journal of Advances in Science, Engineering and Information Technology (IJASEIT), a Scopus-indexed Q2 international journal, entitled:
Artificial Intelligence-Based Home Rehabilitation for Lumbar Disc Herniation: Effects on Pain and Functional Recovery
The study focused on the design and implementation of an AI-powered home-based rehabilitation program for patients with lumbar disc herniation. The program utilizes motion tracking and provides real-time feedback, helping patients perform therapeutic exercises more accurately and effectively.
The study involved 14 participants, who completed a 12-week rehabilitation program consisting of three sessions per week. The effectiveness of the AI-assisted home rehabilitation program was compared with that of a conventional home-based rehabilitation program. The findings demonstrated that the artificial intelligence–based rehabilitation program was significantly more effective in reducing pain intensity, improving functional disability, increasing range of motion, and enhancing both muscular strength and core stability among participants in the experimental group.
The study confirmed that integrating artificial intelligence (AI) technologies into home-based rehabilitation programs represents a promising advancement in the delivery of healthcare services. By enhancing the accuracy of therapeutic exercise performance and improving patients' adherence to prescribed rehabilitation protocols, AI-driven systems can significantly increase the effectiveness of rehabilitation, thereby promoting better recovery outcomes and improving overall treatment efficacy.
This scientific publication reflects Alnoor University's commitment to supporting rigorous scientific research and fostering research collaboration with universities and healthcare institutions, thereby contributing to the production of high-quality research with meaningful scientific and practical impact at both the local and international levels.