INTER AND INTRA-OBSERVER RELIABILITY OF ACCUBALANCE GRAPH ASSESSMENT IN IMAGELESS ROBOTIC-ASSISTED TOTAL KNEE ARTHROPLASTY: A PROSPECTIVE OBSERVATIONAL STUDY

Robotic-assisted total knee arthroplasty has emerged as a

technology to enhance surgical precision and soft tissue balancing.

Imageless robotic-assisted total knee arthroplasty has enabled

objective, real-time assessment of knee balance throughout the

range of motion

These systems provide quantitative intra-operative feedback

through graphical representations of medial and lateral

compartment gaps, commonly displayed as balance graphs

While the accuracy of these robotic systems is noted, the reliability

of balance graph interpretation by different observers and by the

same observer over time remains underexplored.

This prospective observational study aims to assess the

inter-observer and intra-observer reliability of AccuBalance graph

assessment in imageless robotic-assisted TKA, without disrupting

standard surgical workflows.

The study’s findings will support the validation of robotic balance

assessment tools for clinical use and research applications.