Vivid™ Cardiovascular Ultrasound
Facing each new day is easier with a lighter load.
At a glance
As the demand for echocardiograms increases, repetitive tasks and staff shortages are creating physical challenges.
40.5%
90%
$120+
AI and automation insights
Discover how AI and automation optimize workflows and help improve efficiencies.
Key features
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Easy AutoEF
“With AI, we’re improving the reliability and reproducibility of our measurements. We’re improving access to care and access to ultrasound, and ultimately streamlining what we do."⁷
Disclaimer
References
- Easy AutoEF is restricted for use with adult TTE on GE HealthCare raw B-mode data loops of the LV. Easy AutoEF does not support left ventricles with septal bulge.
- Time to strain measurement results may vary with heart rate, frame rate and Vivid system. Verification of performance done by GE HealthCare clinical application specialists using the Vivid system (DOC2739637).
- Applicable to the AI-based View Recognition algorithm, results based on GE HealthCare internal data (DOC2292732).
- Applicable to AI Auto Measure – Spectrum Recognition, results based on GE HealthCare internal data (DOC2292732).
- Work Related Musculoskeletal Disorders In Sonography, SOCIETY OF DIAGNOSTIC MEDICAL SONOGRAPHY, Susan Murphey, https://journals.sagepub.com/doi/full/10.1177/8756479317726767.
- Forecasting the Future of Cardiovascular Disease in the United State, AHA Policy Statement, 2011. Source: CIR.0b013e31820a55f5.
- Dr. Strom is a paid consultant for GE HealthCare and was compensated for participation in this article. The statements described here are based on his own opinions and on results that were achieved in his unique setting. Since there is no “typical” hospital and many variables exist, i.e. hospital size, case mix, etc., there can be no guarantee that other customers will achieve the same result.
- The statements by Dr. Perry described here are based on her own opinions and on results that were achieved in her unique setting. Since there is no “typical” hospital/clinical setting and many variables exist, i.e., hospital size, case mix, staff expertise, etc. there can be no guarantee that others will achieve the same results.