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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