Right care, right provider, first time
Accurate. Efficient. Timely. We help clinics triage hip and knee arthritis patients to optimal care pathways before their first appointment.
Learn More
Screen for hip & knee arthritis in minutes, not hours.
Triage in minutes
Speed up patient triage with AI precision. Instantly identify care pathways for hip and knee arthritis.
Earlier Intervention
Shift your non-surgical patients from your surgeons' clinic waitlist to other providers for a sooner intervention and better patient outcomes.
Screen smarter
Streamline patient evaluation with AI-powered pre-screening and focus specialist's time on surgical candidates.
Learn more about Joint Ai
"For orthopaedic practices, there is a need to efficiently and accurately triage patients that can start non-operative care vs those that are candidates for surgery." - Dr. Tony DiGioia
Solutions for Hip & Knee Adult Reconstruction Clinics
Orthopaedic Clinics:
  • AI Assisted Screening: High-confidence assessments, optimizing surgical vs. non-surgical scheduling.
  • PA's Love Joint Ai: Easy clinic integration, user-friendly, spend more time with patients.
  • Optimized Scheduling: Instant care pathway recommendations, maximizing surgeon clinic time.
Learn more about Joint Ai
" Nearly a third of all patient complaints for PCP office visits are related to musculoskeletal problems, of which the biggest portion is related to the hip and knee. " - Dr. Tony DiGioia
Solutions for Primary Care Physicians
Primary Care Offices:
  • Confident Referrals, First Time.
    Refer patients to the right specialist every time.
  • Empower Patient Care Decisions through clear visualization of joint degeneration.
  • Streamline Patient Assessment. Get instant, AI-powered treatment recommendations.
Learn more about Joint Ai
Looking to learn more about Joint Ai?
Sign up for our email updates to download the one pager that has our accuracy metrics and examples of how Joint Ai can fit into your practice.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.