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Team Members:
  • Hannah Takasuka
  • Aditi Jithendra
  • Jerry Yan
  • Robert Li
  • Evan Bender
  • Akash Chaurrasia
  • Katie McCarren
  • Claire State
  • Amir Manbachi, PhD
  • Julius Oni, MD
  • Adam Levin, MD
  • Robert Sterling, MD
  • Jeff Siewardsen, PhD
  • Megan Callanan


Over 300,000 total hip arthroplasties (THAs), commonly known as total hip replacements, are performed in the US annually. As many as 30% of these procedures have outcomes associated with limb length discrepancy (LLD), where one leg is shorter than the other. Severe LLDs (over 1.5 cm) result in patients experiencing an abnormal gait, hip instability, and joint pain. Thus, severe LLDs generally result in a revision procedure. Over 30,000 THA revision procedures are performed each year in the US due to LLD, equating to almost $360,000,000 dollars of unnecessary healthcare expenditures annually. Existing solutions do not adequately address this problem, so orthopedic surgeons need a better method for assessing LLD during THA procedures. SymMEDtry is developing a device that uses a computer vision algorithm to provide intraoperative feedback on changes in leg length, enabling surgeons to minimize LLD at its onset.

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