Ai Powered Orthopedic Diagnosis
AI-assisted measurements and risk insights for orthopedic decisions.
Built for Clinical Accuracy, Efficiency, and Safety
The issue isn’t image quality. It’s diagnostic consistency under time pressure.
Orthopedic diagnosis often happens under severe time pressure. When X-rays look “normal,” clinicians are forced to estimate instead of measure — relying on visual judgment and experience. This leads to missed or delayed diagnoses, unnecessary procedures, and irreversible patient harm.
How AiNE Supports Orthopedic Care
AiNE provides AI-driven tools that support orthopedic diagnostics, measurements, and surgical planning within existing clinical workflows.
Eliminates Eyeballing with Instant Measurements
AI-assisted analysis of orthopedic imaging to assist clinicians in identifying and reviewing relevant anatomical and clinical findings.
Flags “Normal X-ray” Cases That Aren’t Safe
Designed to support timely access to relevant insights and reports within routine orthopedic workflows.
Reduces Diagnostic Variability Under Time Pressure
Automated extraction and calculation of orthopedic measurements and indices to support consistency and reproducibility.
Pre-Operative Planning Support
Support for structured case review, annotations, and information sharing across multidisciplinary clinical teams.
Collaborative Case Review
Support for structured case review, annotations, and information sharing across multidisciplinary clinical teams.
Standardizes Decisions Across Experience Levels
Promotes consistent decisions across varying experience levels.
Designed for Clinical Reality
Safety & Clinical Risk Reduction
Designed to support consistent and transparent workflows, helping reduce avoidable variability and associated clinical risk.
Time Efficiency
Automates repetitive and manual steps to reduce cognitive load and support more efficient clinical workflows.
Cost Efficiency
Supports standardized processes an efficient use of clinical resources across diagnostic and planning workflows.
Quality of Care
Enables consistent, data-supported insights to help clinicians maintain a high standard of orthopedic care.
How AiNE Works
Clinical Data Input
Medical imaging and relevant patient information are securely provided within the clinical workflow.
AI-Assisted Analysis
AI-assisted analysis supports measurements, calculations, and structured interpretation within an orthopedic context.
Clinical Outputs
Structured insights, planning support, and documentation are generated to support clinical review and planning.
Orthopedic Care Use Case
AiNE supports orthopedic workflows across key clinical domains, starting with focused modules and expanding over time.
Hip
AI-assisted support for hip imaging analysis, measurements, and pre-operative planning workflows.
Knee
Case study exploring AI-assisted analysis, measurements, and planning workflows for knee-related orthopedic conditions.
Built by Clinicians and AI Experts
Prof. Dr. Sufian S. Ahmad
Arthroplasty and
Joint preserving surgery
CMO
Dr. Ali Sharifi Boroujerdi
15+ Years of experience In software engineering & AI Solution Management
CTO
Hamid Gazestani
15+ Years of experience in Strategic Product Design, Vision and UX