Society of Diagnostic Medical Sonography

Thursday, September 18, 2025 | 10:10 am – 12:00 pm
Location: Red Rock 8-9

Audience:  All sonographers 

Description:  Didactic presentation on Shear Wave Elastography to include basic scanning techniques and new automation capabilities for simplifying the examination. Following the didactic, there will be a 30-minute workshop to practice these techniques.

• Cover the basics of SWE
• Introduce a new tool for automation
• Scanning protocol

Speaker
Parker T. Stanley MHA, RDMS, RVT, RMSKS
Virginia Commonwealth University Health

CME Credits: 1.00 (AB)

Thursday, September 18, 2025 | 1:30 pm – 3:20 pm
Location: Red Rock 8-9

Audience:  All sonographers 

Description:  MSK protocol and scanning basics for the general sonographer.

• Understand protocol for commonly ordered MSK examinations
• Recognize normal anatomy versus pathological and trauma variants
• Proficiently perform general MSK examinations with confidence

Speaker
Ted Whitten, BA, RDMS, RVT, FSDMS
Ultrasound Practitioner, Elliot Hospital, Manchester, New Hampshire

CME Credits: 1.00 (MSK)

Friday, September 19, 2025 | 3:10 pm – 5:00 pm
Location: Red Rock 8-9

Audience:  All sonographers 

Description:  This interactive session begins with a 30-minute didactic presentation introducing sonographers to core AI concepts and terminology in medical imaging. Participants will explore real-world examples of how AI enhances efficiency, accuracy, and consistency in diagnostic ultrasound across various clinical applications. Following the lecture, attendees will rotate through hands-on scanning stations to experience AI technologies in action—offering a practical opportunity to interact with tools that support image acquisition, automate measurements, and assist in clinical decision-making. This session is designed for sonographers seeking both conceptual knowledge and experiential learning as AI becomes increasingly integrated into daily practice.

• Define essential Artificial Intelligence (AI) terminology, including machine learning, deep learning, and neural networks, in the context of diagnostic ultrasound
• Identify current clinical applications of AI across multiple ultrasound specialties.
• Apply AI-powered ultrasound tools in a hands-on setting to understand their practical use and clinical impact.

Speaker
Anthony Tardi, RDMS, RVT
Head of Marketing, Samsung Healthcare USA

CME Credits: 1.00 (OT)