Screening and monitoring Point of care testing Technology and innovation

Can Insoles Detect Disease Early?

AI-powered wearable identifies gait changes linked to neurological and musculoskeletal conditions

04/06/2026 News 2 min read

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Clinical Scorecard: Can Insoles Detect Disease Early?

At a Glance

Category	Detail
Condition	Lower limb dysfunction
Key Mechanisms	Wearable smart insole with pressure sensing and AI analysis
Target Population	Patients with diabetic neuropathy, osteoarthritis, neurologic conditions
Care Setting	Real-world environments, remote patient monitoring

Key Highlights

Continuous gait monitoring using a flexible insole with 16 pressure sensors
High accuracy in detecting foot arch abnormalities (96%) and classifying gait patterns (97.6%)
Self-powered operation with solar cells and rechargeable batteries for uninterrupted data collection
Ability to identify subtle changes in plantar pressure relevant for early disease detection
Potential to complement traditional diagnostic methods

Guideline-Based Recommendations

Diagnosis

Utilize wearable insoles for continuous assessment of gait and balance

Management

Monitor patients with conditions affecting gait using smart insoles

Monitoring & Follow-up

Implement long-term gait monitoring in both indoor and outdoor settings

Risks

Further validation needed in larger, diverse populations

Patient & Prescribing Data

Individuals with gait abnormalities or at risk for lower limb dysfunction

Wearable diagnostics may enhance early detection and management strategies

Clinical Best Practices

Incorporate AI-driven gait analysis in routine assessments
Use smart insoles for rehabilitation and remote follow-up
Ensure continuous data collection to capture real-life gait patterns

Related Resources & Content

Study on wearable smart insoles