AIMC Topic: Angina Pectoris
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The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery.
Biomedical engineering online
Sep 12, 2024
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The anomalous origin of the coronary artery may lead to problems such as narrowing of the coronary arteries at the beginning of the coronary arteries and abn...
Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD.
International journal of cardiology
Nov 5, 2022
BACKGROUND: The predictive role of chest radiographs in patients with suspected coronary artery disease (CAD) is underestimated and may benefit from artificial intelligence (AI) applications.
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning.
Chinese medical journal
Apr 5, 2020
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