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Artificial Intelligence

Reducing Orthopedic Costs with Synthetic Data

 

Overview

To optimize surgical processes, hospitals need accuracy and efficiency—missing or incorrect orthopedic tools can lead to longer operations and increased costs. A major orthopedic tool manufacturer sought to easily and accurately identify trays and loose tools at any point in the surgical supply chain, improving visibility and minimizing expenses.

 

Objectives

  • Build and train a detector that can identify various trays and orthopedic tools using a mobile phone in a hospital environment.
Reducing Orthopedic Costs with Synthetic Data
 

Results

  • Delivered a synthetic data creation and training pipeline that powers a computer vision surgical object recognition tool, currently being trialed in US hospitals.
  • Due to the speed and cost-effectiveness of training, and the high levels of accuracy achieved, the application was commercially launched with a major orthopedic tool manufacturer in early 2023.

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