Real-Time Echo Intelligence: Can AI Match or Beat Human Eyes?

Real-Time Echo Intelligence: Can AI Match or Beat Human Eyes?

From TamingtheSRU by UC Department of Emergency Medicine

April 30, 2026 · 7 min

About this episode

Dr. Sookdeo discusses a study comparing AI tools to human assessments in point-of-care echo.

Point‑of‑care echo is fast, powerful—and famously operator‑dependent. Most of us rely on quick visual impressions because precise measurements take time we often don’t have. This new study puts three automated, real‑time AI tools to the test, comparing their ejection fraction, VTI, and IVC assessments against an expert’s read. Join Dr. Sookdeo as she breaks down how well the algorithms performed and what this could mean for the future of bedside echo.

People in this episode

Host: Dr. Sookdeo

Topics covered

  • AI in medicine
  • point-of-care echo
  • automated tools
  • ejection fraction
  • IVC assessments
  • bedside echo

Keywords

  • AI
  • echo intelligence
  • ejection fraction
  • VTI
  • IVC assessments
  • bedside echo
  • operator-dependent

Mentioned in this episode

Organizations: UC Department of Emergency Medicine

More episodes of TamingtheSRU

Explore listener stats, chart rankings, contacts and more on the TamingtheSRU podcast page.