HRS 22: AI To Identify LV Dysfunction From Smartwatch ECGs | Dr Zachi Attia
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HRS 22: AI To Identify LV Dysfunction From Smartwatch ECGs | Dr Zachi Attia
802 | 3 год. назад | 7 - 0
Watch on Radcliffe Cardiology:
In this video from HRS 2022, Dr Zachi Attia (The Mayo Clinic, Rochester, MI, US) discusses the outcomes of an international trial which aimed to evaluate the effectiveness of an artificial intelligence algorithm in identifying left ventricular dysfunction using an Apple watch ECG.
Discussion points:
1. Importance of this study
2. AI Technology
3. Study design and patient population
4. Main findings
5. Impact on practice
6. Further study required and next steps
Recorded onsite at HRS 2022, San Francisco.
This content is intended for healthcare professionals only.
Radcliffe brings medical knowledge, insight and innovation to life for CV clinicians around the world, using our communications & creative expertise, our platforms and connections across the community to help transform theory into practice faster.
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