Predictive Maintenance – Surgical Equipment

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This company’s laser eye surgery machines sometimes experienced failures, even just before surgery. This increased clients’ costs and patients’ waiting times, and led to a loss of profit.


TeraCode assessed the situation and found a specific set of data to predict with a high degree of probability when faults would occur with this laser eye surgery machine.


Using historical data, TeraCode’s data science team developed a machine learning algorithm.


TeraCode has now developed a data model that predicts faults with 98.5% accuracy seven days in advance.

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