mindsON RBQM Workshop | Special Edition: Responsible AI Outcomes: Validating Performance and Protecting Trial Data
AI Models in Clinical Trials: Addressing Business-Critical Questions
AI already flags protocol risk, detects emerging safety signals, and trims patient-data review time – yet boards and regulators still press for answers:
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Does the model truly work?
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Is our trial data demonstrably secure?
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What hard ROI can we show?
In this one-hour executive briefing, Microsoft and Cyntegrity address those questions head-on.
What you will learn
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A field-tested framework for measuring AI accuracy, sensitivity and specificity in real studies (Prof. Dr. Kai Eckert, Mannheim University).
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How a compliant Azure foundation aligns with EU AI Act, GDPR and ISO 27001—without six-month validation projects (Andrew Warrington, Microsoft).
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Business results from AI-enabled Quality by Design: faster database lock, 20–30 % SDV savings, zero critical audit findings (Dr Johann Proeve, Cyntegrity).
Who should attend
Clinical-operations leaders, quality executives, digital-health owners and data-science managers planning to embed responsible AI in study oversight.
Looking ahead
This webinar is also a preview to our invite-only “Leadership Roundtable: Implementing QbD with AI,” held on 3 July 2025 at Microsoft’s Messeturm office in Frankfurt. Webinar participants will receive priority access to request an invitation.
Reserve your seat, bring your questions, and leave with a roadmap to trusted, business-ready AI.
