AI Medical Compendium Journal:
Current cardiology reviews

Showing 1 to 4 of 4 articles

A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.

Current cardiology reviews
Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and accurate diagnosis of heart pathologies. This is due to the growing need to improve efficiency in diagnostics and hasten the process of delivering trea...

Machine-learning Algorithms for Ischemic Heart Disease Prediction: A Systematic Review.

Current cardiology reviews
PURPOSE: This review aims to summarize and evaluate the most accurate machinelearning algorithm used to predict ischemic heart disease.

Recent Updates and Technological Developments in Evaluating Cardiac Syncope in the Emergency Department.

Current cardiology reviews
Syncope is a commonly encountered problem in the emergency department (ED), accounting for approximately 3% of presenting complaints. Clinical assessment of syncope can be challenging due to the diverse range of conditions that can precipitate the sy...

The Emergence of Artificial Intelligence in Cardiology: Current and Future Applications.

Current cardiology reviews
Artificial intelligence technology is emerging as a promising entity in cardiovascular medicine, potentially improving diagnosis and patient care. In this article, we review the literature on artificial intelligence and its utility in cardiology. We ...