AI-assisted approach helps novice users capture heart ultrasound images and identify aortic stenosis
Mayo Clinic researchers tested an approach that uses artificial intelligence (AI) to help people without previous ultrasound experience capture heart images and identify patients who may have a common and serious heart valve condition.
Mayo Clinic researchers investigated how artificial intelligence (AI) could empower inexperienced individuals to acquire heart ultrasound images and detect aortic stenosis, a serious heart valve disorder. In a study published in JAMA Cardiology and presented at the 2026 ESC Congress, experts discovered that novice users could successfully capture focused heart ultrasound images after just four hours of training with AI assistance.
This approach showed promise in identifying patients with moderate or greater aortic stenosis, correctly recognizing 93% of such cases and ruling out 96% of those without the condition. However, some patients with aortic stenosis were missed, indicating the method should serve as a screening tool, not a replacement for comprehensive echocardiography or physician evaluation.
The study highlights the potential of integrating AI with limited ultrasound experience to increase aortic stenosis screening opportunities, particularly in areas lacking comprehensive diagnostic resources and trained professionals.
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