Aptan.ai provides specialized AI data services tailored to orthopedic care, enabling the development of intelligent, precise, and clinically validated musculoskeletal AI and robotic solutions. Our offerings combine medical expertise, spatial-temporal annotation accuracy, biomechanical understanding, and compliance-driven quality assurance to fuel the future of orthopedic AI systems.
What We Provide
Musculoskeletal Imaging Annotation
- Precise labeling of X-ray, CT, MRI, DEXA scans, and fluoroscopy images
- Bone segmentation (femur, tibia, fibula, pelvis, spine, clavicle, etc.)
- Joint structure annotation (knee, hip, shoulder, ankle, elbow, wrist)
- Labeling of fractures, dislocations, osteophytes, alignment issues, and degenerative markers
- Classification of growth plate injuries, ligament tears, meniscal damage, cartilage loss, and soft-tissue abnormalities
Biomechanical & Motion Data Labeling
- Annotation of gait analysis, posture videos, joint movement recordings, and rehabilitation exercises
- Keypoint detection for body pose and skeletal tracking
- Labeling kinematic parameters to support AI motion prediction, reinforcement learning, and robotic control
- Identification of abnormal movement patterns, range-of-motion limits, compensation behaviors, and recovery progress
Surgical Robotics & Instrument Annotation
- High-accuracy labeling of orthopedic surgical videos (arthroscopy, joint replacement, spine surgery, trauma care)
- Tool detection and tracking for robotic learning (drills, saws, screws, implants, sutures)
- Annotation of surgical phases, incision points, implant placement, bone resection zones, and safety constraints
- Support for 6-DoF pose estimation and robotic skill datasets for autonomous surgical tasks
Orthopedic Clinical & EHR Data Structuring
- Labeling of orthopedic reports, discharge summaries, and procedure logs
- Structuring lab values relevant to orthopedics such as Vitamin D, Calcium, CRP, ESR, Rheumatoid panel, and Bone density metrics
- Annotation of injury history, risk factors, treatment plans, implant details, and recovery outcomes
Disease Classification & Outcome Modeling
- Labeling datasets for:
- Osteoarthritis, osteoporosis, rheumatoid arthritis, spinal deformities, scoliosis, and musculoskeletal trauma
- Longitudinal data annotation for disease progression, post-surgical outcomes, and recovery forecasting
- Support for AI-based risk stratification, implant success prediction, and rehabilitation intelligence
Quality Assurance & Clinical Validation
- Orthopedic surgeon-led validation workflows
- Multi-layer QA checks for anatomical accuracy, inter-annotator reliability, and spatial precision
- Secure, compliant, and audit-ready dataset delivery
- Regulatory-aligned documentation for AI-enabled orthopedic devices and robotic systems
Key Use Cases
- Fracture detection and classification
- AI-assisted joint degeneration analysis
- Spinal alignment and deformity assessment
- Automated bone age estimation
- Rehabilitation movement intelligence
- Implant outcome prediction
- Autonomous orthopedic robotic skill learning
- Surgical navigation and decision-support systems
With clinically reliable data and scalable annotation pipelines, Aptan.ai accelerates the creation of orthopedic AI solutions that physicians trust and patients depend on.