Sonographers are essential to delivering high-quality cardiac care, but their work comes with challenges. Repetitive manual steps, long exam times, and physical strain all take a toll. Echocardiography AI enables sonographers to focus on acquiring the best images while intelligent algorithms prepare measurements and draft reports. The result: high-quality echocardiograms with fewer clicks and less manual effort.
The hidden burden of clicks in echocardiography
For sonographers, performing a transthoracic echocardiogram (TTE) is more than acquiring images. It’s a taxing routine of positioning, freezing, tracing, measuring, labeling, and documenting. A single exam can involve nearly 200 clicks for image acquisition and measurements¹. Multiplied across a full day’s schedule and the daily clicks quickly reach the thousands.
This isn’t just a matter of inconvenience. Up to 90% of sonographers experience pain from work-related musculoskeletal disorders (WRMSDs)², most often in the shoulders, neck, back, or wrists. These injuries are in addition to the cognitive fatigue of manual reporting and measurement, which can all contribute to burnout and attrition. For some, the cumulative toll results in extended sick leave or the decision to leave the profession altogether.
The effects ripple beyond an individual sonographer’s well-being. When skilled sonographers are sidelined, practices face reduced productivity amid existing turnover, recruitment challenges, and appointment backlogs. The Occupational Safety and Health Administration (OSHA), estimates that WRMSDs cost U.S. employers an about $120 billion annually in direct and indirect costs.³
The promise of AI in echocardiography
Artificial intelligence (AI) is reshaping ultrasound across specialties. From general radiology and obstetrics to cardiology, it is transforming how clinicians capture, interpret, and communicate diagnostic information. AI also emerging as a powerful enabler of efficiency and consistency across imaging workflows.
In echocardiography, these advancements are especially meaningful. Cardiac exams have unique attributes that make them complex and labor-intensive, so they demand particular precision and expertise. AI is increasingly capable of automatically detecting cardiac structures, calculating key measurements, and generating draft reports. These capabilities help ensure standardized results while reducing the manual workload that often slows clinicians down.
Supporting sonographers day-to-day with echocardiography AI
ViewPoint EchoPilot™, a cloud-based AI solution from GE HealthCare, brings this promise into daily echocardiography practice for cardiac sonographers. It reduces repetitive, manual steps throughout the exam and reporting process by:
- Automatically recognizing standard echocardiographic views and labeling them
- Detecting missing or incomplete views
- Calculating key cardiac measurements such as left ventricle ejection fraction, chamber dimensions and Doppler parameters
- Populating measurements and findings directly into a preliminary report
- Providing integrated access to ASE and EACVI reference ranges
- Generating a draft report so structured documentation is ready for review as soon as image acquisition is complete