Table 2.

Pertinent publications regarding artificial intelligence.

Pertinent Publications Related to Artificial Intelligence in the Field of Cardiovascular Imaging	Findings in Publication
Improved accuracy of myocardial perfusion single-photon emission computed tomography [SPECT] for the detection of coronary artery disease using a support vector machine algorithm	Arsajani et al. found that the accuracy of predicting CAD with an MPI device improved significantly when in adjunct with a learning algorithm [22]
Fully Automated Echocardiogram Interpretation in Clinical Practice	Zhang et al. determined 96% accuracy in identifying images with echocardiography [22]
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry	Al’Aref et al.’s results showed a significantly more accurate assessment of obstructive CAD from CT imaging using machine learning with the coronary artery calcium score [21]
Cardiac Imaging on the Cusp of an Artificial Intelligence Revolution	Laser et al. determined that the right ventricle reconstruction with echocardiography and cardiac MRI had more accuracy compared to the gold standard direct cardiac MRI [23]