Description
Deepthy Varghese, MSN, ACNP, FNP, of Northside Hospital is joined by Dr. Matthew Kalscheur, MD, of the University of Wisconsin and Dr. Hawkins Gay, MD, MPH, of Northwestern University Feinberg School of Medicine discuss the study aimed to validate the use of artificial intelligence (AI) in identifying paroxysmal atrial fibrillation (AF) from 12-lead electrocardiograms (ECGs) in sinus rhythm (SR). The AI algorithm was trained on ECG data from a single center, including patients with and without AF. The dataset comprised 494,042 ECGs from 142,310 patients. Testing the model on the first ECG of each patient showed an accuracy of 78.1%, an area under the receiver-operating characteristic curve of 0.87, and an area under the precision-recall curve of 0.48. Performance varied with AF prevalence, demonstrating higher precision in high-risk groups (30% AF prevalence) and lower precision in low-risk groups (3% AF prevalence). The approach was robust when externally validated in another hospital. In conclusion, the AI-enabled ECG algorithm effectively identified paroxysmal AF in patients in sinus rhythm, showcasing potential clinical utility, particularly in high-risk populations.
Learning Objectives
- Understanding the Application of AI in Atrial Fibrillation Detection
- Evaluating the Clinical Implications of AI-Enhanced AF Detection
Article Authors and Podcast Contributors
Article Authors
Henri Gruwez, MD, Myrte Barthels, MSC, Peter Haemers, MD, PHD, Frederik H. Verbrugge, MD, PHD, Sebastiaan Dhont, MD, Evelyne Meekers, MD, Femke Wouters, MSC, Dieter Nuyens, MD, PHD, Laurent Pison, MD, PHD, Pieter Vandervoort, MD, PHD, Noëlla Pierlet, MSCc
Podcast Contributors
Deepthy Varghese, MSN, ACNP, FNP, of Northside Hospital
Matthew Kalscheur, MD, University of Wisconsin
Hawkins Gay, MD, MPH, Northwestern University Feinberg School of Medicine
Disclosure Policy
ACE Disclosure Policy
The Heart Rhythm Society is committed to the provision of Accredited Continuing Education (formerly known as Continuing Medical Education (CME)) that is balanced, objective, and evidence based. HRS adheres to the Standards for Integrity and Independence in Accredited Continuing Education of the Accreditation Council for Continuing Medical Education (ACCME) which require that those individuals in a position to control the content of an educational activity (including, but not limited to, planners, faculty, authors, committee members, content reviewers, editors, and staff) disclose all financial relationships with an ACCME-defined ineligible company* within the 24 months prior to the disclosure.
Any individual who refuses to disclose financial relationships is disqualified from participating in HRS ACE-certified activities. Owners and employees of ACCME-defined ineligible companies may have no role in the planning or implementation of ACE activities without a special written exemption from the HRS Chief Learning Officer that will be granted only in specific circumstances that meet ACCME requirements.
ACCME Definition:
*An ineligible company is one whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
Examples of such organizations include:
- Advertising, marketing, or communication firms whose clients are ineligible companies
- Bio-medical startups that have begun a governmental regulatory approval process
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All relevant financial relationships have been mitigated.
Host Disclosure(s):
D. Varghese: No relevant financial relationships with ineligible companies to disclose.
Contributor Disclosure(s):
M. Kalscheur: No relevant financial relationships with ineligible companies to disclose.
H. Gay: No relevant financial relationships with ineligible companies to disclose.
Staff Disclosure(s) (note: HRS staff are NOT in control of educational content. Disclosures are provided solely for full transparency to the learner):
S. Sailor: No relevant financial relationships with ineligible companies to disclose.
S. Colbert: No relevant financial relationships with ineligible companies to disclose.
ACE Statements
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The Heart Rhythm Society designates this internet-enduring activity for a maximum of 0.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.