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Drug Discovery and Development
Purpose: To explore the use of AI in pharmaceutical research and drug development... View more
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“AI in Predictive Maintenance for Medical Devices”
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“AI in Predictive Maintenance for Medical Devices”
We’re developing AI systems for predictive maintenance of medical devices. What data sources have you found most valuable for training these models?
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3 Replies
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From a hospital administration perspective, we’ve found that combining device sensor data with usage logs and environmental data (like room temperature and humidity) has been particularly effective.
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In radiology, we’ve had success incorporating image quality metrics into our predictive maintenance models for imaging equipment. It’s been a good early indicator of potential issues.
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Have you considered using natural language processing on maintenance reports? We’ve found valuable insights in the unstructured text data from technician notes.
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