Literature DB >> 33242635

Artificial intelligence in cardiology.

Dipti Itchhaporia1.   

Abstract

This review examines the current state and application of artificial intelligence (AI) and machine learning (ML) in cardiovascular medicine. AI is changing the clinical practice of medicine in other specialties. With progress continuing in this emerging technology, the impact for cardiovascular medicine is highlighted to provide insight for the practicing clinician and to identify potential patient benefits.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Artificial intelligence; Cardiology; Cardiovascular medicine; Clinical decision making; Machine learning

Mesh：

Year:  2020        PMID： 33242635     DOI： 10.1016/j.tcm.2020.11.007

Source DB:  PubMed          Journal:  Trends Cardiovasc Med        ISSN： 1050-1738            Impact factor:   6.677


  4 in total

1.  Optimized Machine Learning Models to Predict In-Hospital Mortality for Patients with ST-Segment Elevation Myocardial Infarction.

Authors:  Jia Zhao; Pengyu Zhao; Chunjie Li; Yonghong Hou
Journal:  Ther Clin Risk Manag       Date:  2021-09-04       Impact factor: 2.423

Review 2.  Big Data, Extracting Insights, Comprehension, and Analytics in Cardiology: An Overview.

Authors:  Hui Xiao; Sikandar Ali; Zhen Zhang; Muhammad Shahzad Sarfraz; Fang Zhang; Mohammad Faisal
Journal:  J Healthc Eng       Date:  2021-01-30       Impact factor: 2.682

Review 3.  Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review.

Authors:  Asma Alamgir; Osama Mousa; Zubair Shah
Journal:  JMIR Med Inform       Date:  2021-12-17

Review 4.  Artificial Intelligence Advances in the World of Cardiovascular Imaging.

Authors:  Bhakti Patel; Amgad N Makaryus
Journal:  Healthcare (Basel)       Date:  2022-01-14
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.