A team of researchers set out to investigate the cost-effectiveness of PRP injections in delaying the need for total knee arthroplasty. They reported their findings in The Journal of Bone and Joint Surgery.
Using artificial intelligence, orthopaedic surgeons at Cleveland Clinic were able to identify the manufacturer and model of an arthroplasty implant with 99% accuracy with plain x-rays alone.
Orthopaedic surgeons discuss their preoperative personalized outcome prediction tool for TKA patients.
Research led by Nicolas S. Piuzzi, MD, staff in Cleveland Clinic’s Department of Orthopaedic Surgery, examined how physicians may better predict if and when a patient is at increased risk of developing contralateral arthroplasty after a total knee or hip replacement. These new insights may be key to developing earlier interventions for at-risk patients.
Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services Policy
A proprietary remote patient monitoring system—with smart knee sleeve—motivates patients while collecting outcomes. Dr. Brendan Patterson explains the recent feasibility study and how it might help establish the value of total knee arthroplasty.
Analysis suggests morbidly obese patients may have more complications, such as readmission, reoperation and superficial infection, following joint replacement procedures.
A validated machine learning tool accurately predicts the orthopaedic episode of care, building payment models that account for patient-specific risk and comorbidities.
With increasing use of robotic-arm assisted joint replacement technology at Cleveland Clinic, this Q&A explores how the system is transforming three joint replacements procedures.
With an array of VTE chemoprophylactic agents – from low-molecular-weight heparin to warfarin to newer anticoagulants – available for patients undergoing TJA, how do you choose? Is simple ASA enough?
The highest rate of AKA after TKA was among black men. Black women and white men had the second highest rate, and white women the lowest. Why? Answers and implications for health and policy warrant further exploration.