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Water Bead Hazards | Spotting STEMIs with AI

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Manage episode 439910762 series 3340265
Content provided by Nick Zelt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nick Zelt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The JournalFeed podcast for the week of Sept 9-13, 2024.

These are summaries from just 2 of the 5 articles we cover every week! For access to more, please visit JournalFeed.org for details about becoming a member.

Monday Spoon Feed:

There are an increasing number of water bead related injuries in children, with the majority occurring in children less than five. While most cases can be treated and released from the ED, water bead injury can be serious and even deadly.

Friday Spoon Feed:

These researchers developed and trained a deep ensemble artificial intelligence (AI) model to classify ECGs as STEMI versus non-STEMI. The AI performed well in both accuracy and in improving sensitivity.

  continue reading

200 episodes

Artwork
iconShare
 
Manage episode 439910762 series 3340265
Content provided by Nick Zelt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nick Zelt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The JournalFeed podcast for the week of Sept 9-13, 2024.

These are summaries from just 2 of the 5 articles we cover every week! For access to more, please visit JournalFeed.org for details about becoming a member.

Monday Spoon Feed:

There are an increasing number of water bead related injuries in children, with the majority occurring in children less than five. While most cases can be treated and released from the ED, water bead injury can be serious and even deadly.

Friday Spoon Feed:

These researchers developed and trained a deep ensemble artificial intelligence (AI) model to classify ECGs as STEMI versus non-STEMI. The AI performed well in both accuracy and in improving sensitivity.

  continue reading

200 episodes

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