Video: From Detection to Resolution – The Half of Clinical AI Nobody Budgeted For

The detection of incidental findings – unexpected abnormalities that turn up on scans ordered for something else – has largely become a solved problem for clinical AI.

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But a finding without follow-up doesn’t help the patient.

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In this recorded conversation, Eon founder and CEO Dr. Aki Al-Zubaidi sits down with Dr. Matt Lungren, a radiologist, Stanford professor, and leading voice on AI in healthcare, to talk about what happens after the alert fires.

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What they cover:

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• Where the problem sits now: Why detection isn’t the bottleneck anymore, and what is.
• After the alert: Who owns the follow-up, how alert fatigue builds, and the liability that comes with knowing about a finding.
• Build vs. buy: What in-house AI really costs once you count maintenance and the extra work for care teams.
• Outcomes and equity: Tying AI to measurable patient results, and how generative AI could widen or narrow gaps in care.
• What to do next quarter: Audit the AI you already have, and give every automated alert a clear owner.

If your organization is adding AI faster than it’s adding ways to follow through on what it finds, this 25-minute session is worth your time.

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Disclosure: Dr. Matt Lungren serves on Eon’s board of directors.

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