Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid… - Nature Medicine, 2023 - nature.com
Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting
electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis …

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

S Al-Zaiti, L Besomi, Z Bouzid, Z Faramand… - Nature …, 2020 - nature.com
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-
lead electrocardiogram (ECG) is readily available during initial patient evaluation, but …

Indirect comparison of TIMI, HEART and GRACE for predicting major cardiovascular events in patients admitted to the emergency department with acute chest pain: a …

J Ke, X Wang, Z Wu, F Chen - BMJ open, 2021 - bmjopen.bmj.com
Background The study aimed to compare the predictive values of the thrombolysis in
myocardial infarction (TIMI); History, Electrocardiography, Age, Risk factors and Troponin …

[HTML][HTML] The value of Coronary Artery Disease–Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta …

K Ahmadzadeh, SR Dizaji, M Kiah… - Archives of Academic …, 2023 - ncbi.nlm.nih.gov
Method: Online databases of PubMed, Embase, Scopus, and Web of Science were
searched until September 19 th, 2022, for studies on the value of CAD-RADS categorization …

Emerging ECG methods for acute coronary syndrome detection: Recommendations & future opportunities

S Al-Zaiti, R Macleod, P Van Dam, SW Smith… - Journal of …, 2022 - Elsevier
Despite being the mainstay for the initial noninvasive assessment of patients with
symptomatic coronary artery disease, the 12‑lead ECG remains a suboptimal diagnostic tool …

Coronary computed tomographic imaging in women: an expert consensus statement from the Society of Cardiovascular Computed Tomography

QA Truong, S Rinehart, S Abbara, S Achenbach… - Journal of …, 2018 - Elsevier
This expert consensus statement from the Society of Cardiovascular Computed Tomography
(SCCT) provides an evidence synthesis on the use of computed tomography (CT) imaging …

[HTML][HTML] Context-independent identification of myocardial ischemia in the prehospital ECG of chest pain patients

CA Swenne, CC Ter Haar - Journal of Electrocardiology, 2024 - Elsevier
Non-traumatic chest pain is a frequent reason for an urgent ambulance visit of a patient by
the emergency medical services (EMS). Chest pain (or chest pain-equivalent symptoms) can …

A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department

TT Wu, RF Zheng, ZZ Lin, HR Gong, H Li - BMC emergency medicine, 2021 - Springer
Background Currently, the risk stratification of critically ill patient with chest pain is a
challenge. We aimed to use machine learning approach to predict the critical care outcomes …

ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain

TF Heston, LM Lewis - Plos one, 2024 - journals.plos.org
Background ChatGPT-4 is a large language model with promising healthcare applications.
However, its ability to analyze complex clinical data and provide consistent results is poorly …

[HTML][HTML] HEART versus GRACE Score in Predicting the Outcomes of Patients with Acute Coronary Syndrome; a Systematic Review and Meta-Analysis

A Kabiri, P Gharin, SA Forouzannia… - Archives of Academic …, 2023 - ncbi.nlm.nih.gov
Method: The online databases of Medline, Embase, Web of Science, and Scopus were
search until September 2022 for articles directly comparing GRACE and HEART scores …