Process AI in Medical Device: What Works and What’s Next
In this session, the featured speakers will first discuss where and how Process AI is working today through language workflows, translation and linguistic QA. These areas are where neural-engine training, human-in-the-loop review and real-time quality monitoring deliver measurable results, reducing translation cost time by 30-40% while maintaining traceability and compliance. LLMs can assist with terminology and QC, but their variability requires validated guardrails.
The webinar will also explore the use of Process AI across life sciences operations. Instead of treating each process, such as post-market surveillance, complaint handling, systematic literature review and regulatory content authoring, like separate AI projects, this session will show how the same core tasks (like classification, extraction, summarization and generation) can be mixed and matched. With these building blocks in place, attendees will be able to create reviewer-ready, compliant systems that can scale.
