In today’s fast-paced clinical environment, it is helpful to understand how ultrasound integrates new artificial intelligence technologies to best serve both physicians and patients. Specifically, how AI can improve patient satisfaction, increase medical professionals’ workflow efficiency, expand scientific knowledge and explore disease prediction models.
- To review the different types of machine learning (ML) techniques
- To understand how ML algorithms could be incorporated in practice to improve echo lab workflow
- Characterize the challenges and opportunities related to the application of AI in echocardiography in the COVID-19 era
- Understand the potential for AI technology in improving patient satisfaction and clinical outcomes
The content of this SDMD CME Symposium is intended for sonographers, and other healthcare professionals involved in echocardiography.
This program has been submitted for approval of 1.0 hour of SDMS CME Credit Category AE by the Society of Diagnostic Medical Sonographers (SDMS).
Release Date: 01/20/2025 | Expires: 01/20/2026
Jordan B. Strom, MD, MSc, FACC, FASE
- Edwards Life Sciences
- Bracco
- Ultromics and Heart Sciences
Patricia A. Pellikka, MD, FACC, FAHA, FASE
- Ultromics LTD
- American Society of Echo Foundation
Partho Sengupta, MD, DM, FACC, FASE
- Ultromics LTD
- Kencor Health
- RCE Technologies
Jordan B. Strom
MD, MSc, FACC, FASE
Harvard Medical School
Boston, MA
Patricia A. Pellikka
MD, FACC, FAHA, FASE
Mayo Clinic
Rochester, MN
Partho Sengupta
MD, DM, FACC, FASE
WVU Heart & Vascular Institute
Morgantown, WV