UltraSight study finds novices can capture diagnostic cardiac ultrasound images with AI guidance

A peer-reviewed study published in European Heart Journal – Digital Health found that students using UltraSight’s AI-guided workflow and Philips Lumify handheld ultrasound could acquire diagnostic-quality cardiac images after four hours of training. The results suggest AI may help expand access to cardiac imaging while keeping physician oversight in place.

Why it matters: - Cardiovascular disease remains a leading cause of morbidity and mortality worldwide. - Many care settings still lack timely access to cardiac imaging. - A workflow that lets non-specialists capture diagnostic-quality images could expand earlier cardiac assessment and reduce workflow bottlenecks. - The study also points to a model that preserves physician review for abnormal or unclear scans.

What happened: - UltraSight announced new clinical data from a prospective, peer-reviewed study of the UltraSight Echosystem paired with Philips Lumify handheld ultrasound. - The study was published in European Heart Journal – Digital Health. - Students performed cardiac ultrasound scans after four hours of training. - The primary study included 496 patients. - Students completed scans in a median of four minutes. - AI-guided image acquisition and AI interpretation were part of the evaluated workflow.

The details: - Adequate images were obtained in 95% of cases when AI interpretation was used. - Adequate images were obtained in 97.4% of cases when expert analysis was used. - The workflow combined AI-guided image acquisition, AI interpretation, and physician overread of abnormal or uninterpretable scans. - Only 15.1% of scans required expert review under that model. - The workflow maintained high diagnostic performance for identifying left ventricular systolic dysfunction, defined as LVEF <40%. - The workflow delivered a negative predictive value of 99.8% and specificity of 95.4%. - The study suggests AI-guided imaging may help more healthcare professionals obtain usable cardiac ultrasound images. - UltraSight’s software has FDA 510(k) clearance to assist medical professionals in performing cardiac ultrasound scans. - The UltraSight Echosystem is designed to combine structured training, real-time AI guidance, and advanced analytics for non-cardiac sonographer providers performing focused echocardiography under physician oversight. - The Echosystem supports focused and limited transthoracic echocardiography workflows that generally align with existing U.S. Medicare reimbursement pathways. - The full study, including authors, disclosures and funding, is available in the journal. - UltraSight also said its software supports diagnostic-grade image quality at the point of care while preserving physician-led interpretation and reporting. - UltraSight said the platform is intended to help health systems expand cardiac imaging access, reduce wait times, and transform workflows across inpatient, outpatient, oncology, and screening settings.

Between the lines: - The findings add evidence that AI may help reduce dependence on highly specialized sonographers for initial image capture. - The low expert-review rate suggests a potential path to scale cardiac imaging without removing physician oversight. - The study’s focus on both acquisition and interpretation is notable because many AI tools address only one part of the workflow. - This is an important shift for systems trying to balance access, speed and diagnostic quality.

What's next: - UltraSight is likely to use the study to support broader adoption of the Echosystem in clinical settings. - Health systems may look at whether AI-guided acquisition can shorten waits for cardiac imaging and widen access outside specialty labs. - The company said the publication follows recent milestones, including recognition as NYU Langone Startup of the Year for 2025 and selection into MedTech Innovator's 2026 Accelerator Cohort, with inclusion in the inaugural MTI Index. - More information is available on UltraSight’s website or by contacting info@ultrasight.com.

The bottom line: - UltraSight’s peer-reviewed data suggest AI-guided cardiac ultrasound can help novices produce diagnostic-quality images while keeping physicians in the loop for oversight and interpretation.