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DiMe and Google for Health are leading the charge in defining what high-quality, trustworthy, and scalable healthcare AI looks like. This session cuts through the hype to explore the practical pathways for moving from pilots to performance, setting strong evidence foundations, and building AI solutions that drive measurable outcomes across the ecosystem.
Join us to discuss:
The emerging standards and evidence frameworks shaping responsible, high-impact healthcare AI
How innovators are successfully scaling AI beyond pilots - and what still holds organizations back
The role of human expertise, transparency, and governance in building trust and clinical relevance
The biggest opportunities - and risks - as AI accelerates across diagnostics, care delivery, and system-wide transformation