Our Mission

“To empower orthopaedic surgeons and patients with data-driven insights and innovative technology that improve surgical outcomes, enhance clinical decision-making, and make quality orthopaedic care accessible to all.”

Our Vision

Mortho.AI envisions a future where every knee and hip surgical decision is informed by comprehensive predictive analytics, where patients have transparent access to outcome information, and where orthopaedic surgeons have the tools they need to deliver personalized, evidence-based care.

What We Do

Mortho.AI provides a comprehensive platform for orthopaedic surgery prediction modeling, specializing in knee and hip procedures. We bridge the gap between device manufacturers, orthopaedic surgeons, and patients through:

Advanced prediction modeling using demographic and radiographic data to forecast surgical outcomes
Secure Physician-patient communication tools with integrated X-ray processing capabilities
AI-powered educational resources that help patients understand their conditions and treatment options
Evidence-based insights drawn from manufacturer data and clinical research

Our Commitment

As a Physician-led initiative, Mortho.AI is committed to improving patient care rather than maximizing profits.

We believe that better data leads to better decisions, and better decisions lead to better outcomes.

By making sophisticated prediction tools accessible to private practice surgeons and providing free educational resources to patients, we're democratizing access to the kind of analytics traditionally available only at academic medical centers.

Core Values

Clinical Excellence: Every feature is designed with patient outcomes as the primary measure of success
Transparency: Patients deserve clear, understandable information about their surgical options
Privacy & Security: HIPAA-compliant protection of all patient data and communications
Accessibility: Making advanced orthopaedic tools available beyond academic institutions
Innovation: Continuously improving prediction models and user experience based on real-world evidence