Home Case Studies AI-Driven Predictive Maintenance for Medical Devices

AI-Driven Predictive Maintenance for Medical Devices

A global medical technology company

Our AI solution enables the client to prevent up to 30% of device failures, ensuring smoother hospital operations and increasing the perceived value of their products.

Meet our client

Client:

A global medical technology company

Industry:

Healthcare / Pharma, Manufacturing

Market:

US

Technology:

Predictive Analytics

Client’s Challenge

A leading medical device manufacturer needed to predict malfunctions in critical surgical devices to minimize downtime and ensure patient safety. The challenge was significant due to the vast amount of sensor data, the variety of unpredictable failure types, and the absence of labeled data for actual failures.

Our Solution

We collaborated with the client’s R&D team to analyze noisy data, develop algorithms to identify failure moments, and create an AI solution that processes sensor data in real-time to accurately predict malfunctions in critical surgical devices.

Client’s Benefits

Our AI solution enables the client to prevent up to 30% of device failures, ensuring smoother hospital operations and increasing the perceived value of their products. Additionally, the client can now proactively address issues before they are reported, opening a new revenue stream through enhanced service offerings.

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