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Artificial Intelligence Center To Offer Quality, Regulatory Solutions

Executive Summary

In this Medtech Insight podcast, Xavier University's Marla Philips explains why the school is teaming up with IBM Watson Health to launch a Center for Artificial Intelligence. "Our mission is to provide artificial intelligence solutions. We will have free and open access for anyone to use so they can implement those solutions across the pharma and device industries, and FDA itself," she says. Also: will AI steal human jobs?

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The AI Touch: Artificial Intelligence Could Boost Quality Systems, Cut FDA Inspections – But Is Industry Ready?

As the medical device industry begins to push the boundaries of artificial intelligence – exploring ways to use advanced AI systems to review, sort and process big data to find quality systems or product problems that would simply take too long for human eyes to see – FDA is also looking at ways to use AI for its own advantage. "AI will reduce investigational time and increase FDA's speed in taking action on a problematic firm," one agency official says. Meanwhile, a new Artificial Intelligence Initiative has been launched by Xavier University to better determine how AI can be used in the quality and regulatory space. Also: J&J subsidiary Janssen explains how it uses AI for quality and regulatory applications, and an expert from Shire tells how top management can be convinced that using artificial intelligence can save their firms money.

FDA-Industry Artificial Intelligence Teams Focus On Product Quality, AI Validation

The Artificial Intelligence Initiative at Xavier University has formed teams to decide how to best scan for signals of device and drug troubles, and validate results generated from AI systems.

At The Intersection Of Quality And Metrics: What's Ahead In FDA’s Effort To More Objectively Measure Quality

Quality metrics are being developed by the US FDA to not only determine which medical device facilities to inspect next, but to also raise firms' overall approach to quality above baseline. In-process metrics work by the Medical Device Innovation Consortium will be used as the agency comes up with its own robust set of measurements. Meanwhile, FDA is gearing up for a new pilot program targeting 10-20 device manufacturers that will submit quality data to the agency; MDIC explains how to calculate its three quality metrics; and quality officials from Baxter, J&J and Stryker weigh in.

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