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awesome-ai-cardiology

Awesome

Comprehensive list of awesome code, datasets, papers, and resources for AI/deep learning/machine learning/neural networks applied to cardiology.

Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.

© 2019 Craig Bailes (@cbailes | contact@craigbailes.com)

Index

Code

Repositories

Datasets

Generation

Tutorials

Challenges

Papers

Meta reviews

Techniques

Imaging

Neuromorphic classification

Diagnostics

Arrhythmias

Realtime analysis
Signal optimization

Artery disease

Atherosclerosis
Carotid
Coronary
Peripheral

Congenital disease

Heart failure

Myocardial infarction

Prediction

Acute coronary syndrome

Cardiopulmonary arrest

Hypertension

Sudden cardiac death

Surgery

Revascularization

Prognostics

Acute coronary syndrome

Artery disease

Cardiac amyloidosis

Congenital disease

Heart failure

Surgery

Coronary artery bypass

Simulation

Identification

Devices

  • Cardiac Rhythm Device Identification Using Neural Networks - James P. Howard, Louis Fisher, Matthew J. Shun-Shin, Daniel Keene, Ahran D. Arnold, Yousif Ahmad, Christopher M. Cook, James C. Moon, Charlotte H. Manisty, Zach I. Whinnett, Graham D. Cole, Daniel Rueckert, Darrel P. Francis (2019)

Individuals

Privacy

Treatment

Acute coronary syndrome

Pharmacology

Efficacy
Drug delivery

Clinical trials

Teams

News, meta resources, and other further reading

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