AIMC Topic: Cardiology

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Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

Journal of the American College of Cardiology
Data science is likely to lead to major changes in cardiovascular imaging. Problems with timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The application of artificial intelligence (AI) is dependent on robust data; t...

A new deep learning model for assisted diagnosis on electrocardiogram.

Mathematical biosciences and engineering : MBE
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep learning model called CBRNN to assist diagnosis on electrocardiogram for clinical medical service. It combines two sub networks which are convolutional n...

Artificial Intelligence in Cardiology.

Journal of the American College of Cardiology
Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial intelligen...

What's in Store for Cardiovascular Ultrasound in the Future.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Advances in experimental medicine and biology
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...

Artificial Intelligence in Precision Cardiovascular Medicine.

Journal of the American College of Cardiology
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in ...

Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine.

Circulation research
We present here a vision of individualized Knowledge Graphs (iKGs) in cardiovascular medicine: a modern informatics platform of exchange and inquiry that comprehensively integrates biological knowledge with medical histories and health outcomes of in...

Decision Support Systems in Cardiology: A Systematic Review.

Studies in health technology and informatics
The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were include...

A connecting system for cardiological lexicons.

Studies in health technology and informatics
The purpose of this paper is to present the approach and the development of a software application ("lexicons connecting" system) to correlate effectively and unambiguously the correspondence between the specialist medical vocabulary and the familiar...

Exploiting expert systems in cardiology: a comparative study.

Advances in experimental medicine and biology
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earlier application based only on a Sugeno-type Fuzzy Expert System (FES) with the addition of an Artifi...