Webinar: Predictive Paradigms: Transforming QMS with AI Insights

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Webinar: Predictive Paradigms: Transforming QMS with AI Insights

medical-device-quality-recall-trends

313 Million Reasons to Act Earlier: What Medical Device Quality Leaders Can Learn from 2026 Recall Trends

Whitepaper | September, 2026

313.1 million medical device units were recalled in the U.S. in the first half of 2026, a 516.8% increase from H1 2025. Yet recall events alone don’t tell the full story. Quality risk often begins as smaller signals scattered across complaints, CAPAs, supplier records, audits, FMEAs and post-market data.

The challenge is connecting those signals before an isolated issue becomes a larger quality event.

What can medical device quality leaders learn from 2026 recall trends?

This Insight Brief examines what is driving medical device recalls including device failures, software issues and sterility problems, and why earlier recognition of recurring quality signals matters.

How can AI support proactive quality management?

Explore how assistive AI can help quality teams recognize recurrence, find relevant historical evidence and bring risk context into investigations without replacing professional judgment.

Download the Insight Brief to discover:

  • Where early quality signals may be hiding
  • How AI can help connect seemingly unrelated quality events
  • Which metrics indicate whether risk is being found sooner
  • Why qualified quality professionals must remain the decision-makers

See the signals sooner. Act while there’s still time.

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