Radiomics in Echocardiography: Deep Learning and Echocardiographic Analysis.
Kenya KusunosePublished in: Current cardiology reports (2020)
In the AI cardiovascular imaging field, there are many applications involving efficient image reconstruction, patient triage, and support for clinical decisions. These tools have a role to support repetitive clinical tasks. Although they will be powerful in some situations, these applications may have new potential in the hands of echo cardiologists, assisting but not replacing the human observer. We believe AI has the potential to improve the quality of echocardiography. Someday AI may be incorporated into the daily clinical setting, being an instrumental tool for cardiologists dealing with cardiovascular diseases.
Keyphrases
- deep learning
- artificial intelligence
- left ventricular
- cardiovascular disease
- pulmonary hypertension
- emergency department
- endothelial cells
- computed tomography
- magnetic resonance
- heart failure
- high resolution
- atrial fibrillation
- working memory
- mitral valve
- mass spectrometry
- risk assessment
- case report
- photodynamic therapy
- climate change
- quality improvement
- induced pluripotent stem cells