Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation.
Gilberto J AquinoJordan ChamberlinBasel YacoubMadison R KocherIsmail KabakusSelcuk AkkayaMegan MercerJeffrey WaltzMatthew FiegelNathan LeaphartAthira JacobMehmet Akif GulsunJames GilkesJoe StephensonPuneet SharmaPooyan SahbaeeJoseph SchoepfStefan ZimmermanMichael E FieldAli M AghaJeremy R BurtPublished in: European radiology (2022)
• There was good-to-excellent agreement between manual and automated methods for left atrial volume quantification. • The AI comparably estimated LA volumes in AF patients, but overestimated volumes by clinically negligible amounts in controls. • The AI's ability to distinguish AF patients from controls was similar to the manual methods.
Keyphrases
- left atrial
- artificial intelligence
- atrial fibrillation
- end stage renal disease
- machine learning
- ejection fraction
- mitral valve
- newly diagnosed
- chronic kidney disease
- left ventricular
- heart failure
- magnetic resonance imaging
- computed tomography
- catheter ablation
- high throughput
- patient reported outcomes
- dual energy