How do you separate signal from noise when it comes to AI in diagnostics?

In this episode of Expert Insights, host Mitzi Rettinger sits down with Jeremy Elser, Ph.D.—a strategist, data scientist, and Head of Science Operations at Palantir—to explore the real-world potential and limits of generative AI in diagnostics R&D and operations.

Together, they discuss:

How diagnostics leaders can evaluate AI use cases without falling for hype

What to ask when AI vendors pitch you “breakthrough” tools

Red flags that signal a lack of scientific grounding or operational relevance

Where generative AI is already proving valuable—especially in decision support, knowledge retention, and complex workflows

How to think about regulatory alignment, validation, and change management in AI-driven environments

Jeremy also offers a preview of his keynote at ALFC 2025, where he’ll be speaking directly to diagnostics and point-of-care leaders about what it takes to build responsible, useful AI into real-world diagnostics programs.

Whether you're on a product team exploring AI-driven image analysis, in leadership evaluating LLM pilots, or simply trying to stay current, this episode delivers a strategic view on what matters now in AI for diagnostics.

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