Clinical trials

The goal of this clinical trial is to learn if deep friction massage works to reduce quadriceps muscle spasticity in adults with sub-acute Stroke. It will also learn about the effectiveness of this technique in improving lower limb motor function and mobility. The main questions it aims to answer are: * Does deep friction massage reduce quadriceps spasticity in stroke patients as measured by the Modified Ashworth Scale? * Does deep friction massage improve lower limb motor recovery as measured by the Fugl-Meyer Assessment? * Does deep friction massage improve functional mobility as measured by the Timed Up and Go Test? Researchers will compare deep friction massage combined with conventional physiotherapy to conventional physiotherapy alone to see if deep friction massage improves spasticity and functional outcomes in patients with stroke.

This study tests whether an artificial intelligence (AI)-enhanced telerehabilitation program can effectively treat chronic non-specific low back pain in college students. Low back pain affects 40-52% of university students due to prolonged sitting during lectures and study sessions, poor posture from laptop use, and lack of physical activity. While exercise therapy is the recommended treatment, many students cannot access traditional physiotherapy due to cost, scheduling conflicts, and location barriers. This randomized controlled trial compares three treatment approaches: (1) AI-enhanced telerehabilitation with automated video analysis and personalized feedback, (2) standard telerehabilitation with video instructions only, and (3) usual care. The AI system uses computer vision technology (Google MediaPipe Pose) to analyze exercise videos through a standard webcam or smartphone, automatically tracking joint movements, counting repetitions, and providing real-time feedback on exercise form. College students with chronic low back pain (lasting more than 3 months) will be randomly assigned to one of the three groups. The AI-enhanced group will receive personalized exercise programs delivered remotely, with the AI system monitoring their performance and physiotherapists providing guidance through video consultations. The study will measure changes in pain levels, disability, physical function, trunk muscle endurance, and quality of life over 8 weeks of treatment and 3 months of follow-up. Researchers will also evaluate how well participants stick to their exercise programs and how easy the technology is to use. This research aims to determine if AI technology can make remote physiotherapy more effective and accessible for college students, potentially transforming how young adults receive treatment for back pain and improving their long-term health outcomes.

Double-crossed syndrome" refers to a specific alignment of overactive and underactive muscles in the neck, chest, and shoulders. AIRROSTI stands for Applied Integration for the Rapid Recovery of Soft Tissue Injuries. This study aims to evaluate the effectiveness of Airrosti exercises combined with TheraBand exercises in reducing pain and disability in the neck and shoulders. TheraBand exercise programs are commonly used to improve muscle activation. However, research on the effectiveness of AIRROSTI combined with TheraBand exercises for treating Double-Crossed Syndrome among smartphone users is limited, and more evidence is needed to support their effectiveness.

This study aims to evaluate the relationship between platelet counts and sickle cell disease in the eastern region of the Kingdom of Saudi Arabia.