Abstract: Disclosed is a system to display a representation of an instrument. The representation of the instrument may be displayed relative to a representation of a patient. The representation of the patient may be fit in real-time to represent positions of two or portions of the patient relative to one another.

Abstract: A method of calibrating an ultrasound imaging system including: capturing ultrasound image data including a first tissue and a second tissue through which ultrasound waves travel at different speeds, the ultrasound image data captured based on a predetermined single speed of ultrasound waves through both the first tissue and the second tissue being the same; segmenting the first tissue and the second tissue in a sonogram based on the image data; identifying a first depth of the first tissue and a second depth of the second tissue based on the sonogram; identifying an actual first speed of ultrasound waves through the first tissue and an actual second speed of ultrasound waves through the second tissue; and generating a calibrated image that accounts for ultrasound waves through the first tissue at the first actual speed that is different than the second actual speed of the ultrasound waves through the second tissue.

Abstract: A system and method to provide output regarding an imaging system. The output includes, in various embodiments, a display illustrating portions features and portions selected by a user. The imaging system may include a user moveable and/or holdable imaging system.

Abstract: A method uses internal patient data from an implantable medical device (IMD) and environmental factor information associated with cardiovascular diseases as input to a predictive cardiovascular disease software tool for enabling alerts, e.g., generated by a computing system configured to receive data from the IMD. A computing system may receive diagnostic metric data from the IMID and time correlated location data of the patient, e.g., from a smartphone, smartwatch, or other computing device of the user. The computing system may use the patient's location, such as from a user's device such a programmer or patient's computing device, to determine a particulate matter exposure level corresponding to the diagnostic metric data that may then be used as an input to a predictive cardiovascular disease software tool to refine the risk score or risk stratification.