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Condition: Ischemic Stroke
Education: Learning
Procedure: Percutaneous Coronary Intervention

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Total 58 results found since Jan 2013.

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

Standardising care for heart attack (STEMI) patients, Ireland
Under a reform agenda, the Health Service Executive (HSE) in Ireland initiated the National Clinical Programme for Acute Coronary Syndrome (ACS) in 2010, as a joint venture with the Royal College of Physicians of Ireland (RCPI). Early attention was focussed on treatment of patients with ST elevation myocardial infarction (STEMI) as treatment varied nationally depending on distance from a Cardiac centre offering 24/7 primary Percutaneous Coronary Intervention (PPCI) (direct clot removal), a more effective treatment with less complications but requiring specialised facilities compared with thrombolysis (clot dissolving drug ...
Source: International Journal of Integrated Care - July 10, 2017 Category: Nursing Source Type: research

Multi-modal fusion model for predicting adverse cardiovascular outcome post percutaneous coronary intervention
Conclusion. To the best of our knowledge, this is the first study that developed a deep learning model with joint fusion architecture for the prediction of post-PCI prognosis and outperformed machine learning models developed using traditional single-source features (clinical variables or E CG features). Adding ECG data with clinical variables did not improve prediction of all-cause mortality as may be expected, but the improved performance of related cardiac outcomes shows that the fusion of ECG generates additional value.
Source: Physiological Measurement - December 22, 2022 Category: Physiology Authors: Amartya Bhattacharya, Sudarsan Sadasivuni, Chieh-Ju Chao, Pradyumna Agasthi, Chadi Ayoub, David R Holmes, Reza Arsanjani, Arindam Sanyal and Imon Banerjee Source Type: research