Identifying the risk of exercises, recommended by an artificial intelligence for patients with musculoskeletal disorders.

Musculoskeletal disorders (MSDs) impact people globally, cause occupational illness and reduce productivity. Exercise therapy is the gold standard treatment for MSDs and can be provided by physiotherapists and/or also via mobile apps. Apart from the obvious differences between physiotherapists and mobile apps regarding communication, empathy and physical touch, mobile apps potentially offer less personalized exercises. The use of artificial intelligence (AI) may overcome this issue by processing different pain parameters, comorbidities and patient-specific lifestyle factors and thereby enabling individually adapted exercise therapy. The aim of this study is to investigate the risks of AI-recommended strength, mobility and release exercises for people with MSDs, using physiotherapist risk assessment and retrospective consideration of patient feedback on risk and non-risk exercises. 80 patients with various MSDs received exercise recommendations from the AI-system. Physiotherapists rated exercises as risk or non-risk, based on patient information, e.g. pain intensity (NRS), pain quality, pain location, work type. The analysis of physiotherapists' agreement was based on the frequencies of mentioned risk, the percentage distribution and the Fleiss- or Cohens-Kappa. After completion of the exercises, the patients provided feedback for each exercise on an 11-point Likert scale., e.g. the feedback question for release exercises was "How did the stretch feel to you?" with the answer options ranging from "painful (0 points)" to "not noticeable (10 points)". The statistical analysis was carried out separately for the three types of exercises. For this, an independent t-test was performed. 20 physiotherapists assessed 80 patient examples, receiving a total of 944 exercises. In a three-way agreement of the physiotherapists, 0.08% of the exercises were judged as having a potential risk of increasing patients' pain. The evaluation showed 90.5% agreement, that exercises had no risk. Exercises that were considered by physiotherapists to be potentially risky for patients also received lower feedback ratings from patients. For the 'release' exercise type, risk exercises received lower feedback, indicating that the patient felt more pain (risk: 4.65 (1.88), non-risk: 5.56 (1.88)). The study shows that AI can recommend almost risk-free exercises for patients with MSDs, which is an effective way to create individualized exercise plans without putting patients at risk for higher pain intensity or discomfort. In addition, the study shows significant agreement between physiotherapists in the risk assessment of AI-recommended exercises and highlights the importance of considering individual patient perspectives for treatment planning. The extent to which other aspects of face-to-face physiotherapy, such as communication and education, provide additional benefits beyond the individualization of exercises compared to AI and app-based exercises should be further investigated.Trial registration: 30.12.2021 via OSF Registries, https://doi.org/10.17605/OSF.IO/YCNJQ .

Impact of an AI app-based exercise program for people with low back pain compared to standard care: A longitudinal cohort-study.

Background: Low Back Pain (LBP) is a common health problem worldwide. In recent years, the use of mobile applications for the treatment of various diseases has increased, due to the Corona pandemic. Objective: The aim of this study is to investigate the extent to which artificial intelligence (AI)-assisted exercise recommendations can reduce pain and pain-related impairments in daily life for patients with LBP, compared to standard care. Methods: To answer the research question, an 8-week app-based exercise program was conducted in the intervention group. To measure the influence of the exercise program, pain development and pain-related impairment in daily life have been evaluated. A so-called rehabilitation sports group served as the control group. The main factors for statistical analysis were factor time and group comparison. For statistical calculations, a mixed analysis of variance for pain development was conducted. A separate check for confounders was made. For pain impairment in daily life nonparametric tests with the mean of change between the time points are conducted. Results: The intervention group showed a reduction in pain development of 1.4 points compared to an increase of 0.1 points in the control group on the numeric rating scale. There is a significant interaction of time and group for pain development. Regarding pain-related impairments in daily life, the intervention group has a reduction of the oswestry disability index scores by 3.8 points compared to an increase of 2.3 in the control group. The biggest differences become apparent 8 weeks after the start of treatment. The significant results have a medium to strong effect. Conclusion: The results shown here suggest that the use of digital AI-based exercise recommendations in patients with LBP leads to pain reduction and a reduction in pain-related impairments in daily living compared to traditional group exercise therapy.

Efficacy of foam rolling with additional vibration stimulation on the mobility of the thoracolumbar fascia. An observational study.

INTRODUCTION: Observations show that foam rolling improves joint movements. Likewise, it can be stated that a vibration stimulation of the tissue leads to improved joint mobility. METHOD: This study investigates whether the combination of foam rolling and vibrations (31 Hz) can influence the sliding of the thoracolumbar fascia more effectively than normal foam rolling. 45 subjects participated in the study and were divided into a foam roll with additional vibration group (FRV), a foam roll group (FR) and a control group (CG). The intervention groups rolled out the gluteal muscles, the lateral trunk and the upper and lower back. Mobility measures were taken pre and post the respective intervention. Subsequent cross correlation software analysis quantified the sliding of the fascia and calculated its shear strain mobility (SSM). RESULTS: The sliding of the thoracolumbar fascia improved significantly within the FRV by 2.83 mm (SD ± 1.08/p < .001), in the FR by 0.96 mm (SD ± 0.43/p < .001) and in the CG decreased the sliding by 0.1401 mm (SD ± 0.28/p = .076). The fascia/fascia SSM increased in the FRV by 22.61% (SD ± 15.64/p < .001), in the FR by 11.41% (SD ± 20.38/p = .056) and in the CG decreased the SSM by 0.9473% (SD ± 11.35/p < .751). The lumbar movement increased in both intervention groups, but showed no significant result. CONCLUSION: The use of a foam roll with additional vibration and standard intervention have increased thoracolumbar fascia sliding and lumbar movements. The improved shear strain mobility can be attributed to the multi-activity of mechanoreceptors, such as Pacini- and Ruffini-Bodies.

Do exercises with the Foam Roller have a short-term impact on the thoracolumbar fascia? - A randomized controlled trial.

Due to new research results in the past few years, interest in the fascia of the human body has increased. Dysfunctions of the fascia are indicated by various symptoms, amongst others, musculoskeletal pain. As a result stronger focus has been put on researching therapeutic approaches in this area. The main aim of this study was to investigate the effect of Foam Roll exercises on the mobility of the thoracolumbar fascia (TLF). Study has been conducted in a randomized and controlled trial which sampled 38 healthy athletic active men and women. The subjects were randomly assigned to a Foam Roll Group (FMG), a Placebo Group (PG) and a Control Group (CG). Depending on the assigned group the volunteers were either instructed to do exercises with the Foam Roll, received a pseudo treatment with the Foam Roll or received no treatment. A total of three measurements were carried out. The most important field of research was the mobility of the TLF, which was determined using a sonographic assessment. In addition the lumbar flexion and the mechanosensivity of relevant muscles were determined. After the intervention, the FMG showed an average increase of 1.7915 mm for the mobility of the TLF (p < 0.001/d = 0.756). In contrast, only an average improvement of 0.1681 mm (p = 0.397) was shown in the PG, while the CG showed a slight improvement of 0.0139 mm (p = 0.861). However, no significant changes were observed with regard to the lumbar flexion and mechanosensivity of the treated muscles. Thus, evidence is that the use of Foam Roll exercises significantly improves the mobility of the thoracolumbar fascia in a healthy young population.