Creator, President EchoVet.com Boulder, Colorado, United States
Presentation Description / Summary: Veterinary echocardiography faces unique challenges due to variability in normal reference values across species, body sizes, and breeds. A database-driven approach addresses this complexity by enabling clinicians to apply species- and breed-specific reference intervals while maintaining flexibility to incorporate emerging literature values. Institution-specific preferences can be preserved by selecting among published reference standards for evaluation.
Structured data entry and reporting facilitate both algorithmic comparison of patient values against reference ranges and integration of clinician input. This approach supports automated analysis with immediate, reproducible, and standardized reporting. Longitudinal charting of echocardiographic parameters enhances rapid, practical clinical decision-making.
Beyond current applications, a dedicated veterinary echocardiographic database creates opportunities for the future integration of dynamic automated analyses, AI-based pattern recognition, predictive modeling of disease progression, and large-scale data mining. Such a framework promises to advance both clinical practice and research in veterinary cardiology.
Learning Objectives:
understand how the vast amount of veterinary echocardiographic normal data; with different species, breed and weights; can be handled quickly and easily by use of a dedicated veterinary ultrasound database.
have a concise visualization of the various historic and current methods of echocardiographic analysis of cardiac disease
see how echocardiographic data can be used to instantly generate a structured echocardiographic, include algorithmic analysis of values, and chart progression over time
have discussions about the future of veterinary echocardiography with automated measurements, AI assisted pattern recognition, and predictive analysis of disease progression
