Validating AI Outcomes in Clinical Trials

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Validating AI in Clinical Trials: Ensuring Trustworthy Outcomes

Explore how to validate AI in clinical trials in this expert-led webinar. With AI playing a growing role in drug development and patient monitoring, it’s vital to ensure AI tools are accurate, ethical, and reliable. Learn from leaders in clinical operations, technology, and academia as they break down validation frameworks, key metrics, and real-world applications.

What You’ll Learn?
Get practical insights into:

  • AI validation frameworks used in clinical research
  • Defining key metrics like accuracy, sensitivity, and specificity
  • Real-world examples from Cyntegrity’s AI-driven tools, including protocol assessment, data discrepancy tracking, and mitigation planning

Speakers

Why Attend?

Discover how validated AI supports safe, efficient, inspection-ready clinical trials. The session wraps with a live Q&A to answer your questions.

Don’t miss this opportunity to gain practical knowledge from top experts in AI and clinical research. Ideal for professionals in clinical operations, data science, digital R&D, and quality management.

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