JMIR Rehabilitation and Assistive Technologies

Auditory-cognitive training (ACT) combines auditory and cognitive exercises to improve listening and cognition in individuals with hearing difficulties; yet, it lacks standardized implementation and consistent evidence.

Accurate motor assessment is crucial for diagnosing and monitoring neurological and musculoskeletal disorders. However, traditional manual and semiautomated methods can be subjective, time-consuming, or expensive. Real-time 3D human pose estimation (HPE) is emerging as a low-cost, noninvasive alternative. However, its clinical adoption is limited due to a lack of thorough, standardized evaluation of its accuracy and robustness in real-world clinical settings.

Clinical documentation in specialized, interdisciplinary rehabilitation is often time-consuming and complex and may contribute to clinician burnout and reduced time for patient interaction. AI-based scribes transcribe and summarize clinical notes and may reduce documentation burden; however, their usefulness and usability in specialized rehabilitation remain uninvestigated.

Frozen shoulder causes prolonged pain and restricted range of motion that impair daily function. Home exercise is an indispensable part of self-management, but adherence is often suboptimal under traditional printed or verbal instruction because of the lack of objective monitoring and individualized progression. Existing rehabilitation apps offer sensor-based assessment and feedback but generally lack an adaptive mechanism that tailors the exercise prescription to a patient’s dynamically changing clinical status.

Physical inactivity significantly contributes to the rapid decline in clinical and health-related outcomes among patients undergoing hemodialysis. Exergaming may offer a safe, effective, and sustainable solution for maintaining adequate physical activity levels in these patients.

Drowning is a leading cause of unintentional injury-related mortality worldwide, particularly in swimming pool environments, where rapid detection is critical to prevent fatalities. Traditional monitoring approaches rely on lifeguards and rule-based systems, which are often limited by human error, delayed response, and environmental challenges such as occlusion, glare, and multiple swimmers. Machine learning (ML) and computer vision methods have emerged as promising alternatives for automated drowning detection; however, their methodological rigor, real-world applicability, and reliability remain unclear.

Single-camera markerless pose estimation may support accessible knee movement assessment, but performance can depend on task, joint angle, and detection quality, and evidence across complementary measurement properties remains limited.

Schroth therapy is one of the conservative methods used to treat scoliosis. It includes not only therapeutic exercises in physiotherapy facilities but also concepts for independent training at home. Consistent and correct performance of this training has a major impact on the success of the therapy. However, without guidance and supervision by a therapist, patient motivation may decline. In addition, incorrect training techniques may be used, which can have a negative impact on the success of the therapy.

Many stroke survivors experience chronic cognitive deficits that, together with motor impairments, negatively impact well-being and daily function. Critically, poststroke cognitive deficits can interfere with successful engagement in rehabilitation programs aimed at improving participation in home and community activities. To address this issue, we developed a new telehealth intervention that integrates brief, functional cognitive rehabilitation (COG) into an existing upper extremity-focused, activity-based occupational therapy (OT) telerehabilitation program.

Post–COVID-19 condition (PCC) is characterized by persistent symptoms and functional limitations that impair quality of life, and rehabilitation is an important component of its management. Because access to conventional face-to-face rehabilitation may be limited, telerehabilitation has emerged as an accessible alternative. However, the effectiveness of telerehabilitation across clinical outcomes remains uncertain, and the influence of different delivery modes is not well understood.

Evidence-based nonsurgical osteoarthritis (OA) care programs improve patient outcomes and may reduce the burden of disease. Despite their demonstrated effectiveness, their implementation into routine health care remains limited across health care systems. Understanding factors that facilitate or hinder implementation is essential to support broader adoption and long-term sustainability worldwide.

In Indonesia, people with communication disorders predominantly communicate using Bahasa Isyarat Indonesia (BISINDO). Nevertheless, all current systems for BISINDO recognition generate fragmented, word-by-word output and lack natural language generation (NLG) capabilities, thereby fundamentally constraining their communicative utility.