Network Five Emergency Medicine

In this final part of the series on cardiology, we explore the potential uses of artificial intelligence (AI) in the risk stratification of undifferentiated chest pain.

Show Notes

Theme: Cardiology.

Participants
Dr Karan Rao (cardiologist), Dr Nick Moore (ED consultant), Dr Hao Tran (cardiology advanced trainee), David Emmerig (ED trainee), Aran Sandrasegaran, Amanda De Silva, Pramod Chandru, Shreyas Iyer, and Samoda Wilegoda

Discussion:
Stewart, J., Lu, J., Goudie, A., Bennamoun, M., Sprivulis, P., Sanfillipo, F., & Dwivedi, G. (2021). Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review. PLOS ONE, 16(8), e0252612. https://doi.org/10.1371/journal.pone.0252612.

Presenter: Hao Tran.

Credits:
This episode was produced by HETI's Emergency Medicine Training Network 5.

Music/
Sound Effects
  • Descriptions by RYYZN | https://soundcloud.com/ryyzn, Music promoted by https://www.free-stock-music.com, Creative Commons Attribution 3.0 Unported License, https://creativecommons.org/licenses/by/3.0/deed.en_US.
  • Got My Love by LiQWYD & Markvard | https://www.liqwydmusic.com, https://soundcloud.com/markvard, Music promoted by https://www.free-stock-music.com, Creative Commons Attribution 3.0 Unported License, https://creativecommons.org/licenses/by/3.0/deed.en_US. 
  • Sunset Beach by Scandinavianz | https://soundcloud.com/scandinavianz, Music promoted by https://www.free-stock-music.com, 
    Creative Commons Attribution 3.0 Unported License, https://creativecommons.org/licenses/by/3.0/deed.en_US.
  • Sound effects from https://www.free-stock-music.com. 

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See you next time,
Caroline, Kit, Pramod, Samoda, and Shreyas.

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What is Network Five Emergency Medicine ?

This is a podcast designed to bring exciting emergency research to you!