Prof. Roberto M. Lang, MD, is an internationally renowned cardiologist and specialist in echocardiography, the study of heart condition and function using ultrasound. A pioneer in the development of three-dimensional echocardiography, a state-of-the-art method to observe heart function, Prof. Lang is a past president of the American Society of Echocardiography and is currently in charge of the Valve Clinic at the University of Chicago Medicine.
His field of expertise will significantly contribute to the development of ODMEcho, an AI-augmented, automatic, cloud-based product to aid physicians in analyzing echocardiograms, resulting in increased detection, accuracy, and efficiency.
The analysis of echocardiography examinations is highly complex. Precise and rapid analysis of the echocardiogram can help cardiologists decide on best treatment for any conditions detected and provide timely intervention critical for the patient’s health.
ODM is developing ODMEcho, an AI-augmented, automatic, cloud-based product for the use of physicians in analyzing echocardiograms, resulting in decreased variability among echocardiographers, improved efficiency, and decreased acquisition time of echocardiographs.
Combining ODM’s AI expertise in acoustics, signal processing, image flow processing and meta big data, the product will decrease acquisition time, resolve inconsistencies due to operator and observer variability during image acquisition and interpretation, and save cardiologists valuable and often critical time during the diagnostic process.
Cardiovascular diseases (CVDs) are the leading cause of death globally, making them a major public health risk with a high financial impact on the healthcare and economic systems.
An echocardiogram, the primary method for noninvasive heart imaging, is an ultrasound scan of the heart and surrounding blood vessels, providing structural information, blood flow analysis, and assessment of the heart chambers and valves function.
Progress in echocardiography methods and the availability of multiple new quantitative parameters, has made the routine clinical examination extensive, time consuming and more challenging to analyze. Unlike other imaging modalities, such as computed tomography or magnetic resonance, echocardiography is often affected by interobserver variability and a has a strong dependence on experience level and expertise. It is imperative to improve echocardiography testing by decreasing acquisition time, provide consistency and accuracy in interpretation and decrease diagnosis delays.
