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Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention
CONCLUSIONS: The RF model accurately predicts short- and long-term risk of IS and outperforms logistic regression analysis in patients undergoing PCI. Patients with periprocedural stroke may benefit from aggressive management to reduce the future risk of IS.PMID:37410747
Source: The Journal of Invasive Cardiology - July 6, 2023 Category: Cardiology Authors: Chieh-Ju Chao Pradyumna Agasthi Timothy Barry Chia-Chun Chiang Panwen Wang Hasan Ashraf Farouk Mookadam Amith R Seri Nithin Venepally Mohamed Allam Sai Harika Pujari Anil Sriramoju Mohamed Sleem Said Alsidawi Mackram Eleid Nirat Beohar Floyd D Fortuin Eri Source Type: research

Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men
CONCLUSIONS: Utilizing a novel AI-ECG algorithm on a large group of patients, we demonstrated that patients with MwA have a significantly higher AF prediction model output, implying a higher probability of concurrent paroxysmal or impending AF, compared to MwoA in both women and men. Our results suggest that MwA is an independent risk factor for AF, especially in patients <55 years old, and that AF-mediated cardioembolism may play a role in the migraine-stroke association for some patients.PMID:35676887 | DOI:10.1111/head.14339
Source: Headache - June 9, 2022 Category: Neurology Authors: Chia-Chun Chiang Nikita Chhabra Chieh-Ju Chao Han Wang Nan Zhang Elisabeth Lim Abraham Baez-Suarez Zachi I Attia Todd J Schwedt David W Dodick Fred M Cutrer Paul A Friedman Peter A Noseworthy Source Type: research

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