Artificial intelligence is setting a new benchmark for accuracy and consistency in cardiac imaging.
A recent JACC Journals study, led by Sveric Kruno et al., compared AI-based echocardiography with expert evaluations for left ventricular (LV) mass assessment, validated against CT imaging.
The findings: AI delivered better accuracy, diagnostic performance, and repeatability compared to manual expert assessment.
Key Results
- 20% reduction in measurement error versus experts
- Higher diagnostic accuracy (AUC 0.78 vs 0.71 for linear; 0.84 vs 0.77 for hybrid methods)
- Highest test–retest reliability achieved with AI echocardiography
These results reinforce the growing role of AI in making cardiac imaging faster, more objective, and less dependent on operator variability-paving the way for more consistent patient outcomes.
Read the full study on JACC Journals
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