Overview
AI tools for physiotherapy are reshaping rehabilitation by combining computer vision, wearable sensors, machine learning, and telehealth to deliver personalized recovery programs. These platforms analyze patient movement, range of motion, and exercise quality in real time, providing immediate feedback and progress metrics.
1. Kaia Health
Kaia Health combines AI-driven exercise programs with computer vision and clinical content to guide patients through physiotherapy sessions at home. Using smartphone cameras, Kaia analyzes movement patterns and provides corrective feedback in real time, ensuring exercises are performed safely and effectively. The platform personalizes programs based on pain levels, progress, and patient-reported outcomes, adapting difficulty and intensity as recovery advances. Kaia also integrates educational modules and behavioral strategies to improve adherence and self-management.
2. Sword Health
Sword Health offers a virtual physiotherapy solution that pairs AI-powered software with licensed physical therapists to deliver individualized recovery plans. Patients use sensors or mobile devices to perform clinician-prescribed exercises while the AI analyzes motion accuracy and adherence. Sword’s algorithms identify risk patterns and progress trends, alerting therapists when intervention is needed. The platform focuses on musculoskeletal conditions and post-operative rehab, providing progress dashboards and motivational coaching.
3. Physitrack
Physitrack is a comprehensive digital physiotherapy platform that uses AI-enhanced content delivery, exercise prescription, and outcome measurement to support rehabilitation programs. Therapists assign video-guided exercises and educational content while the system tracks adherence, pain scores, and functional outcomes. AI features help personalize progressions and flag patients who may be struggling or at risk of poor recovery. Integration with wearables and telehealth tools enables continuous monitoring and asynchronous care. Physitrack empowers clinicians to scale evidence-based treatment remotely, improve patient engagement through reminders and gamification, and generate objective reports for clinical and administrative use.
4. Hinge
Hinge Health combines sensor-guided exercise therapy, behavioral coaching, and AI analytics to treat chronic musculoskeletal conditions. Patients follow guided sessions using wearable sensors or smartphone cameras; the platform’s AI interprets movement quality and adherence, offering personalized adjustments. Hinge Health emphasizes education and behavioral change—using data-driven nudges and coaching to increase long-term compliance. Clinicians receive aggregated insights about population risk and individual progress, enabling targeted interventions. By addressing both physical and psychological aspects of recovery and using predictive analytics to foresee setbacks, Hinge Health aims to reduce pain, lower surgery rates, and improve functional outcomes across large patient groups.
5. Reflexion
Reflexion Health (products sometimes known as Vera or incorporated into larger digital health portfolios) pioneered at-home motion-capture rehabilitation that uses AI to evaluate exercise form and recovery. Through camera-based tracking and machine learning models, the platform quantifies joint angles, repetitions, and movement symmetry, delivering objective measures to clinicians. AI also helps classify exercise quality and predict recovery trajectories, allowing therapists to tailor progressions. The solution supports orthopedic and post-surgical patients by providing visual progress reports, automated reminders, and clinician alerts. Its focus on accurate motion analysis enhances remote rehabilitation quality and reduces reliance on subjective self-reports.
6. MIRA Rehab
MIRA Rehab uses AI-powered interactive exercises, gamification, and motion sensors to make physiotherapy engaging and measurable. The platform translates clinical exercises into motivating games, where AI assesses movement precision and adjusts difficulty dynamically. By turning repetitive rehab tasks into interactive sessions, MIRA increases adherence—especially for neurological and stroke patients needing high-repetition training. Clinicians access dashboards with objective metrics, enabling remote monitoring and data-driven treatment adjustments. MIRA’s approach leverages behavioral design plus AI analytics to accelerate motor learning and improve long-term functional recovery through sustained patient engagement.
7. Hocoma / Valedo
Hocoma and its Valedo product line specialize in sensor-based rehabilitation for back pain and neurological conditions. These systems use wearable sensors and AI algorithms to translate movement into guided exercises and therapy games. The AI analyses posture, range of motion, and movement symmetry to provide corrective feedback and personalized progressions. Clinics use Hocoma solutions for in-clinic and at-home therapy, enabling objective performance tracking over time. The platform supports intensive, repeatable training necessary for neuromuscular recovery and helps therapists prescribe evidence-based interventions while monitoring adherence and outcomes through clear, AI-generated reports.
8. BioSensics
BioSensics applies wearable sensors and AI analytics to quantify gait, balance, and mobility—critical metrics in physiotherapy for older adults and neurological patients. The platform captures temporal-spatial gait parameters, postural sway, and movement variability, then uses machine learning to interpret risk of falls or mobility decline. Therapists receive objective dashboards that inform targeted interventions, exercise selection, and progression. BioSensics enables remote assessment of functional mobility, supporting population-level screening and individualized rehab planning. Its focus on real-world mobility metrics helps clinicians move beyond clinic-based tests to continuous, context-rich evaluation of patient function.
9. Rehab Guru
Rehab Guru is a clinician-focused platform for prescribing physiotherapy programs, offering AI-assisted templates, video demonstrations, and progress tracking. While built for therapists, the system leverages smart suggestions to tailor exercise sets, reps, and progressions based on patient data and common rehabilitation pathways. Patients follow guided videos and report symptoms; the platform aggregates adherence and outcome data for clinician review. Rehab Guru streamlines documentation, promotes consistent exercise technique through clear instruction, and uses basic AI logic to surface patients needing extra attention—making it a practical tool for busy clinics wanting scalable remote care.
10. Sparta Science
Sparta Science combines force-plate assessments with AI to evaluate movement mechanics, balance, and force production—metrics valuable in physiotherapy and performance rehabilitation. The AI interprets movement signatures to identify asymmetries, compensations, and injury risk, generating individualized corrective programs. Therapists use insights to prioritize interventions, track neuromuscular recovery, and measure readiness to return to sport or function. Sparta’s objective data-driven approach helps bridge rehabilitation and performance domains, enabling safer progressions and evidence-based decision-making about activity resumption, thereby improving long-term patient safety and functional outcomes.
(FAQs)
Q1: Do these AI physiotherapy tools replace therapists?
No. They augment clinical care—improving monitoring, scaling programs, and providing objective data—while licensed therapists remain essential for diagnosis, manual treatment, and judgment.
Q2: Are these tools suitable for at-home use?
Many are designed for home use with cameras, wearables, or simple sensors; however, appropriate clinician setup and supervision are recommended to ensure safety and correct progression.
Q3: Do AI tools work for all conditions?
They are effective for many musculoskeletal, post-operative, neurological, and mobility conditions, but suitability depends on the specific tool, clinical indication, and individual patient needs.
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