Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians-Reference-Cited by-同舟云学术

Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians

Published:2023 Issue:45 Volume:38 Page:
ISSN:1011-8934
Container-title:Journal of Korean Medical Science
language:en
Short-container-title:J Korean Med Sci

Author:

Kim Donghoon¹^ORCID,Jeong Joo¹^ORCID,Kim Joonghee¹²³^ORCID,Cho Youngjin⁴³^ORCID,Park Inwon¹^ORCID,Lee Sang-Min¹^ORCID,Oh Young Taeck⁵^ORCID,Baek Sumin¹²^ORCID,Kang Dongin¹^ORCID,Lee Eunkyoung³^ORCID,Jeong Bumi³^ORCID

Affiliation:

1. Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

2. Division of Data Science, Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Korea.

3. ARPI Inc., Seongnam, Korea.

4. Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

5. Department of Emergency Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.

Funder

Korea Health Industry Development Institute

Publisher

XMLink

Subject

General Medicine

Link

https://jkms.org/pdf/10.3346/jkms.2023.38.e322

Reference20 articles.

1. Electrocardiographic manifestations: electrolyte abnormalities

2. Noninvasive potassium determination using a mathematically processed ECG: Proof of concept for a novel “blood-less, blood test”

3. Novel Bloodless Potassium Determination Using a Signal‐Processed Single‐Lead ECG

4. Computer-assisted image processing 12 lead ECG model to diagnose hyperkalemia

5. The Effect of Potassium on the Electrocardiogram

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