Cardiovascular Business February 3, 2023
Researchers have built a new artificial intelligence (AI) model that uses electrocardiogram (ECG) data to identify patients who are more likely to develop atrial fibrillation (AFib) after surgery, sharing their findings in Circulation: Arrhythmia and Electrophysiology.[1]
Post-operative atrial fibrillation (POAF) was once viewed as “benign and transient,” the group explained, but more recent research suggests it can increase a patient’s risk of longer hospitalizations, spontaneous AFib and even stroke.
“It is imperative to establish practical screening for high-risk patients with POAF,” wrote first author Takeshi Tohyama, MD, PhD, a specialist with Kyushu University Hospital in Japan, and colleagues.
Tohyama et al. focused on data from nearly 43,980 pre-operative ECGs taken from 27,564 adult patients undergoing surgery at a high-volume hospital...
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