Orthopedic AI spans the full patient journey — fracture detection on emergency imaging, surgical planning on CT, intraoperative navigation, and post-surgical rehab monitoring. Each touches different technical stacks (DICOM, robotic systems, RPM with wearables, video gait analysis), each has its own regulatory pathway, and each integrates with orthopedic EHR workflows that differ from hospital medical or surgical workflows.
Taction Software’s orthopedics AI engineers have built fracture-detection pipelines, surgical-planning tools, and rehab monitoring systems integrated with orthopedic practices and hospital systems. Engagements begin with a $45K Discovery Sprint.
Our experts are ready to understand your business goals.
For productized sprint pages, see Discovery Sprint, MVP Sprint, and Pilot-Ready Sprint.
Multi-region fracture detection on emergency department X-ray.
CT-driven pre-op planning for hip and knee arthroplasty.
Wearable-driven rehab monitoring with adherence tracking and AI-supported coaching.
Video and IMU-based gait analysis for clinical and research use.
For background, see medical imaging AI and our work on physical therapy app development.
Hire healthcare AI engineers, FDA SaMD engineers, RPM developers, or medical app developers at $8K per engineer per month.
For estimates, use the healthcare AI cost calculator.
Discovery Sprint $45K, MVP Sprint $95K, Pilot-Ready Sprint $145K. Full pathway $285K over 24 weeks.
Frequently yes for diagnostic features (fracture detection, surgical planning). Workflow features may not.
Yes. Accelerometer-based gait analysis, ROM tracking, and adherence monitoring are shipped patterns.
Yes. Co-morbidity-aware surgical risk modeling is within scope.
Yes. CT-driven pre-op planning for arthroplasty is a shipped pattern.
Yes. FHIR R4 integration including imaging and observation resources.
Yes. Every engagement begins with a BAA.
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