Transforming Aortic Stenosis Diagnosis with Precision AI
Aanal Shah, DNP, APRN, AGNP-C, Medical Science Liaison; Echo IQ
On Demand | Expires 4/1/2027
Register Below
*Approved by the ASRT for 1 Category A continuing education credit.
Overview:
This session introduces attendees to advanced AI technologies that can be used to enhance early detection and management of Aortic Stenosis. Powered by advanced algorithms and AI-driven analysis, these groundbreaking tools can integrate seamlessly into existing echocardiography workflows to identify at-risk patients earlier and with greater accuracy. The presentation will explore the technology’s capabilities, the clinical value it delivers, and how it empowers cardiologists to optimize patient outcomes.
Learning Objectives
Understand the clinical challenges in diagnosing Aortic Stenosis and how advanced AI tools address current detection gaps.
Evaluate the functionality and integration of AI into existing clinical workflows and echocardiography systems.
Assess the clinical and operational benefits of AI-powered tools in improving diagnostic confidence, care pathways and, ultimately, patient outcomes.
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Presenter:

Aanal Shah, DNP, APRN, AGNP-C
Medical Science Liaison; Echo IQ
Aanal Shah is a doctorate-prepared, board-certified Adult-Gerontology Nurse Practitioner with over 15 years of cardiovascular experience. She currently serves as a Medical Science Liaison at Echo IQ, where she bridges clinical expertise with emerging technologies to advance cardiovascular diagnosis and outcomes. Passionate about patient-centered care and early intervention, she partners with clinicians to support informed decision-making and improved patient outcomes.
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