Our AI-powered orthotic design methodology integrates clinical validation across 4,200+ cases with biomechanical tissue stress theory. Using subtalar joint motion analysis and sagittal plane facilitation principles, we create custom corrections that address root dysfunction patterns for optimal patient outcomes.
Our AI orthotic prescription system was validated against 4,200+ instrumented gait and plantar pressure laboratory tests, achieving 100% diagnostic concordance for safety and precision in clinical care.
Our validation study compared AI-generated orthotic prescriptions against gold-standard clinical assessments from certified pedorthists and podiatrists. The dataset included 4,200 cases with instrumented gait analysis, plantar pressure mapping, and comprehensive biomechanical evaluation.
Force plate data, motion capture, and temporal-spatial parameters for comprehensive gait assessment.
High-resolution pressure distribution analysis during static and dynamic conditions.
"Diagnostic concordance" means our AI system's orthotic prescription specifications (arch height, posting angles, modifications) matched the expert clinician's recommendations in the same case. This includes both the biomechanical corrections needed and the specific condition classification.
Our system covers ≈99.6% of insole-treatable conditions based on clinical validation. We explicitly exclude cases requiring specialized medical supervision or rigid orthotic devices.
Our system includes built-in safety protocols that recommend clinician consultation when patient responses indicate conditions outside our scope or requiring immediate medical attention. We prioritize patient safety over system coverage.
Our AI algorithm continuously improves through machine learning from new clinical cases and outcome data. Major system updates are released quarterly with enhanced prescription accuracy and expanded condition coverage.
Our system achieved 100% diagnostic concordance when validated against 4,200+ instrumented gait and plantar pressure laboratory comparisons. This means our AI prescriptions matched expert clinical assessments in every case.
We don't treat post-operative protocols requiring clinician supervision, conditions needing rigid bracing, or cases where immediate medical evaluation is warranted. Our system covers ≈99.6% of insole-treatable conditions.
Seek immediate care for sudden severe pain, numbness, open wounds, signs of infection, or suspected fractures. Our system will also recommend clinician consultation when appropriate.
Our algorithm continuously learns from new cases and clinical outcomes. Major updates are released quarterly with improvements to prescription accuracy and coverage of edge cases.
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