L2 · PubMed 追蹤作者

Recognising cardiac syncope.

Can an artificial intelligence electrocardiogram algorithm improve diagnostic accuracy for acute coronary occlusion in the difficult subset of canceled catheterization lab activations?

STEMI criteria demonstrated lower sensitivity for OMI as compared to the AI algorithm (47.1% vs 94.1%, p = 0.005), and a non-significantly lower specificity (66.1% vs 73.2%, p = 0.090). The AI algorithm also demonstrated higher positive and negative likelihood ratios for OMI identification (3.51 and 0.08, respectively) than STEMI criteria (1.39 and 0.80, respectively).

Sodium Channel-Mediated Ventricular Arrhythmia After Delphinium denudatum Ingestion Managed Conservatively in a Resource-Limited Setting.

BACKGROUND: Delphinium denudatum (jadwār) is a traditional South Asian herbal root containing aconitine-like alkaloids that cause sodium channel-mediated cardiotoxicity. Human toxicity data remain limited, particularly from resource-limited settings. CASE SUMMARY: A man in his late 20s presented 6 hours after accidental ingestion of Ddenudatum root with palpitations and autonomic symptoms.

Chest Pain With Subtle But Lifesaving ECG Findings.

Performance of Artificial Intelligence-Powered ECG Analysis in Suspected ST-Segment Elevation Myocardial Infarction.

RESULTS: The study included 2,523 patients, 68.3% male, with a median age of 63 years. Among AMI with culprit patients, the model correctly identified 93.8% as OMI(+). The model correctly identified 79.7% of no-AMI patients as OMI(-). The AUCROC was 0.952 (95% CI: 0.924-0.966).