AI integration can enhance echocardiography efficiency and cardiovascular diagnostics: GlobalData

Obtaining and interpreting echocardiogram images is a lengthy process that heavily relies on the expertise of trained sonographers, a resource that is limited globally. The recent partnership between Fujifilm and Us2.ai represents a major advancement in the integration of artificial intelligence (AI) into cardiovascular diagnostics.  Incorporating AI-powered image analysis software into imaging systems will improve the efficiency, precision, and accessibility of cardiovascular diseases (CVDs) diagnostics, says GlobalData.

Echocardiography, a widely utilised non-invasive method using ultrasound to assess the heart, is crucial in diagnosing CVDs. Embedding Us2.ai’s AI-based image analysis software into Fujifilm’s LISENDO 880 and LISENDO 800 ultrasound systems will provide a substantial improvement in workflow efficiency.

Elia Garcia, Medical Analyst, GlobalData, comments, “The LISENDO systems, renowned for their superior image quality, paired with Us2.ai’s AI-powered automation, autonomously analyses all heart chambers using 2D and Doppler ultrasound views, delivering essential measurements and diagnostic conclusions based on international standards. This integration tackles a key issue in echocardiography: the shortage of skilled professionals.”

Typically, an echocardiogram examination takes between 40 and 90 minutes, requiring a highly trained sonographer to interpret the results. Us2.ai’s software can cut the time spent on measurement and report generation by as much as 70 per cent, significantly enhancing workflow efficiency.

The growing use of AI in medical imaging, especially in radiology, has become a key trend in healthcare innovation. Companies such as Rad AI and Elucid have showcased the potential of AI-driven tools to improve the quality and efficiency of medical imaging.

Garcia concludes, “Looking forward, the integration of AI into echocardiography systems is set to improve clinical workflows, minimise diagnostic errors, and ultimately save lives. As AI technology continues to progress, partnerships like this may lead to further advancements in medical imaging. As the technology becomes more prevalent, the widespread use of AI-powered diagnostic tools could transform cardiovascular care, improving patient outcomes globally.”