Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Non-specific shoulder pain is a common musculoskeletal condition, especially among college students, and it can have a negative impact on the patient's life. Therapists have used scapular stabilization exercises (SSE) to enhance scapular control and mobility. This study investigates the prediction of the impact of scapular stability exercises in treating non-specific shoulder pain, leveraging advanced machine learning techniques for comprehensive evaluation and analysis.

Physical therapy approach and non-invasive modalities in treatment of vaginal laxity: a literature review.

Introduction: Pelvic floor physical therapy (PFPT) and noninvasive modalities can be more safe and available treatments for vaginal laxity (VL) with less risk of postsurgical complications.

Objectives: The purpose of this review is to define the concepts of PFPT and noninvasive modalities, examine the evidence supporting those modalities as a treatment for VL, and evaluate their effectiveness.

Methods: Between 2002 and 2023, clinical studies including women diagnosed with VL were examined in the Web of Science, Cochrane Library, Scopus, and PubMed databases.

Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain.

This paper presents an analysis of trunk movement in women with postnatal low back pain using machine learning techniques. The study aims to identify the most important features related to low back pain and to develop accurate models for predicting low back pain. Machine learning approaches showed promise for analyzing biomechanical factors related to postnatal low back pain (LBP).

Effects of transcutaneous vagus nerve stimulation on chronic low back pain: a systematic review.

Background: Chronic low back pain (CLBP) is a frequent disease. It is a critical health concern that can influence functional capacity by restricting living activities.

Objectives: The current study is to investigate the effects of transcutaneous vagus nerve stimulation (TVNs) in the management of CLBP.

Employing machine learning for enhanced abdominal fat prediction in cavitation post-treatment.

This study investigates the application of cavitation in non-invasive abdominal fat reduction and body contouring, a topic of considerable interest in the medical and aesthetic fields. We explore the potential of cavitation to alter abdominal fat composition and delve into the optimization of fat prediction models using advanced hyperparameter optimization techniques, Hyperopt and Optuna. Our objective is to enhance the predictive accuracy of abdominal fat dynamics post-cavitation treatment.

Ultrasound imaging of core muscles activity in multiparous women with vaginal laxity: a cross-sectional study.

Vaginal laxity (VL) is a common condition among multiparous women, especially those who have delivered vaginally. Since pelvic floor muscles (PFMs) work synergistically with other core muscles, physical therapy protocols that aim to treat VL should train the PFMs in combination with other core muscles. To investigate the activity of core muscles in multiparous women with and without VL, and its relation to sexual function.

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction.

Urinary incontinence (UI) is defined as any uncontrolled urine leakage. Pelvic floor muscles (PFM) appear to be a crucial aspect of trunk and lumbo-pelvic stability, and UI is one indication of pelvic floor dysfunction. The evaluation of pelvic tilt and lumbar angle is critical in assessing the alignment and posture of the spine in the lower back region and pelvis, and both of these variables are directly related to female dysfunction in the pelvic floor.

Effect of knack technique on vaginal laxity in multiparous women: A randomized controlled trial.

Background: Vaginal laxity defined according to the International Urogynecological Association/International Continence society is excessive vaginal looseness; it is one of the most common symptoms of pelvic floor dysfunction, which refers to medical/functional disorders that can have a significant impact on a woman's sexual self-esteem and sexual life.

Aim: This study aimed to determine the impact of the Knack Technique on Pelvic floor muscle (PFM) and sexual function in women with vaginal laxity.

Methods: Thirty females complaining of vaginal laxity were randomly chosen from the outpatient clinic at Deraya University.