Abstract: The present embodiments relate generally to a system and method for creation of a patient account on a medical imaging system during a medical imaging examination. The method may involve operating a processor to: acquire a set of medical imaging data during the medical imaging examination, the set of medical imaging data being acquired in association with a logged-in medical professional account on the medical imaging system; display a new patient account prompt to initiate creation of the patient account; receive a patient identifier to initiate the creation of the patient account; and use the patient identifier to initiate the creation of the patient account, the patient account to be used for accessing at least a portion of the set of medical imaging data acquired during the medical imaging examination.

Abstract: A method of creating a 3D model, which is a visual representation of at least one physiological parameter, the method comprises deploying an AI model to execute on a computing device communicably connected to a medical imaging device, said medical imaging device acquiring medical imaging data, wherein the AI model is trained so that when it is deployed, the computing device identifies at least one physiological parameter from medical imaging data; acquiring, at the computing device, new medical imaging data; processing, using the AI model, the new medical imaging data to identify at least one physiological parameter (the “at least one identified physiological parameter”); employing the at least one identified physiological parameter to select a corresponding 3D model; and modifying the corresponding 3D model to alter one or more model parameters therein, to match the at least one identified physiological parameter, thereby customizing the visual appearance of the corresponding 3D model.

Abstract: The present embodiments relate generally to systems, methods, and apparatus for determining a heart rate of an imaged heart in an ultrasound image feed. A plurality of ultrasound images can first be acquired. For each ultrasound image of the plurality of ultrasound images, the image can be divided into a plurality of regions; where each region is positioned so that the region corresponds to a substantially similar region location present across the plurality of ultrasound images. For each region location on each of the plurality of ultrasound images, a statistical calculation on image data of the region location can be performed. For each region location, a frequency of change in the statistical calculation over the plurality of ultrasound images can then be determined. The region location having a dominant determined frequency of change in the statistical calculation (over the plurality of ultrasound images) can be identified as a region of interest (ROI).

Abstract: The present embodiments relate generally to methods for providing viewing access to an ultrasound image feed generated at an ultrasound imaging machine. A multi-use display device may form a first link-layer connection with the ultrasound image machine for transmitting commands that control imaging parameters of the ultrasound image feed. The multi-use display device may then: determine link-layer connection parameters that allow the ultrasound imaging machine to form a second link-layer connection with a receiving device (the receiving device having no link-layer connection with the ultrasound imaging machine), and provide the connection parameters to the receiving device. The ultrasound imaging machine forms a second link-layer connection with the receiving device, based the connection parameters. The second link-layer connection is then used for receiving, at the receiving device, the ultrasound image feed controlled by the multi-use display device.

Abstract: A method of creating a 3D model, which is a visual representation of at least one physiological parameter, the method comprises deploying an AI model to execute on a computing device communicably connected to a medical imaging device, said medical imaging device acquiring medical imaging data, wherein the AI model is trained so that when it is deployed, the computing device identifies at least one physiological parameter from medical imaging data; acquiring, at the computing device, new medical imaging data; processing, using the AI model, the new medical imaging data to identify at least one physiological parameter (the “at least one identified physiological parameter”); employing the at least one identified physiological parameter to select a corresponding 3D model; and modifying the corresponding 3D model to alter one or more model parameters therein, to match the at least one identified physiological parameter, thereby customizing the visual appearance of the corresponding 3D model.

Abstract: An apparatus and method for providing remote expert feedback to an operator of an ultrasound imaging machine. The remote feedback consists of graphical icons that are dragged and dropped onto a video stream of the patient being scanned or the ultrasound image being captured and shared in real-time with the local operator to help improve their scanning technique.

Abstract: The present embodiments relate generally to methods for providing viewing access to an ultrasound image feed generated at an ultrasound imaging machine. A multi-use display device may form a first link-layer connection with the ultrasound image machine for transmitting commands that control imaging parameters of the ultrasound image feed. The multi-use display device may then: determine link-layer connection parameters that allow the ultrasound imaging machine to form a second link-layer connection with a receiving device (the receiving device having no link-layer connection with the ultrasound imaging machine), and provide the connection parameters to the receiving device. The ultrasound imaging machine forms a second link-layer connection with the receiving device, based the connection parameters. The second link-layer connection is then used for receiving, at the receiving device, the ultrasound image feed controlled by the multi-use display device.

Abstract: A plurality of ultrasound frames of a fetus are acquired using an ultrasound scanner, which may be oriented arbitrarily with respect to the fetus during the acquisition. The ultrasound frames are processed against an artificial intelligence model to predict a different cut line on each of the ultrasound frames. Each cut line is predicted to be exterior to an image of the fetus appearing on the ultrasound frame. The different cut lines on the plurality of ultrasound frames are then used to identify ultrasound data in the image frames to generate a 3D representation of the fetus.

Abstract: An ultrasound scanner in a spectral Doppler mode, in which a corresponding two-dimensional (2D) ultrasound imaging mode (e.g., B-mode) image is frozen, is switched temporarily to the 2D-mode in response to a continuous contact on a touchscreen. During the continuous contact, the spectral Doppler mode is interrupted, the 2D-mode image becomes live, and the gate for the spectral Doppler mode may be adjusted by a movement of the continuous contact on the touchscreen. Upon termination of the continuous contact, the system reverts back to the spectral Doppler mode, which now operates within the adjusted gate, and the 2D-mode image is frozen. A brief contact may be used to check the position of the gate against a live 2D-mode image without adjusting it.

Abstract: Ultrasound scanners that are initialized and placed to the side in a sterile bag for use in a sterile environment may suffer overheating and cut out early, because the bag represents a poor cooling environment. The rate of increase in temperature of a scanner is monitored and a determination is made as to whether the scanner is in a regular environment or a poor cooling environment. If the scanner is in a poor cooling environment, the scanner is switched from a regular state of operation to a poor cooling state of operation. In the poor cooling state of operation, the scanner settings consume less power and generate less heat on the whole than the regular scanner settings. The scanner reverts to higher power settings as and when needed to perform the desired scan. The user interface on an associated display device also changes in response to the scanner entering the poor cooling state of operation.

Abstract: A multi-media product is created from fetal ultrasound images, during scanning of a fetus using an ultrasound scanner, and employs a specifically trained artificial intelligence (AI) model to execute on a computing device communicably connected to an ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and selects one or more fetal anatomical features, in whole or part, imaged in fetal ultrasound imaging data generated during ultrasound scanning as part of a clinical exam of the fetus, wherein the selected one or more fetal anatomical features are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and wherein after acquiring a new fetal ultrasound image during ultrasound scanning, the AI model selects the one or more fetal anatomical features, in whole or part, which are visually appealing for entertainment and keepsake purposes and are not part of a clin

Abstract: Ultrasound images are adjusted according to the size of the display area available to display them, so that image detail is displayed with a large enough physical size to discern comfortably. A translation ratio is determined for translating the physical distance traversed by the ultrasound signals of an ultrasound images to a corresponding physical distance on a screen of the display device. If the ratio is not below a threshold, the image is displayed in full. If the ratio is below the threshold, the image is cropped, optionally scaled, and displayed in the available area. Scaling and cropping may be based on window size and threshold window size. The parameters of the ultrasound scan may be controlled based on the scaling, cropping, or available screen size. User interface features may be displayed on the screen depending on how much area is available when the image is displayed.

Abstract: An application running in a mobile device displays an ultrasound image obtained by a connected ultrasound scanner. A button is displayed on the device, which, when activated, automatically connects the device to a remote reviewer in a virtual videoconferencing room, without the operator of the scanner needing to input user credentials. Upon activating the button, or otherwise triggering the request for a review, pre-stored login credentials are automatically retrieved and used for connecting the operator to the room. The remote reviewer may be connected to the room upon accepting the request for review, without having to input user credentials, which are pre-stored and automatically retrieved.

Abstract: A plurality of ultrasound frames of a fetus are acquired using an ultrasound scanner, which may be oriented arbitrarily with respect to the fetus during the acquisition. The ultrasound frames are processed against an artificial intelligence model to predict a different cut line on each of the ultrasound frames. Each cut line is predicted to be exterior to an image of the fetus appearing on the ultrasound frame. The different cut lines on the plurality of ultrasound frames are then used to identify ultrasound data in the image frames to generate a 3D representation of the fetus.

Abstract: An ultrasound imaging system comprising a multi-use electronic display device and an ultrasound imaging device. The multi-use electronic display device is capable of communicating with one or more ultrasound imaging devices and selecting which to connect with based on at least one of previously store information, user input, and information gathered from the ultrasound imaging devices. The multi-use electronic display device may communicate with the ultrasound imaging devices while they are in a low power standby state. This approach reduces the complexity of the pairing process and provides a means for quickly and easily selecting between multiple ultrasound imaging devices.

Abstract: A method and system for assessing medical images for suitability in clinical interpretation is described herein. The method and system involve: acquiring a medical image; inputting the medical image into a machine learning model, wherein the machine learning model is configured to determine a quality value based on the medical image; determining whether the quality value meets a quality threshold associated with a target clinical application; and when the quality value meets the quality threshold associated with the target clinical application, permitting clinical interpretation of the medical image for the target clinical application.

Abstract: An application running in a mobile device displays an ultrasound image obtained by a connected ultrasound scanner. A button is displayed on the device, which, when activated, automatically connects the device to a remote reviewer in a virtual videoconferencing room, without the operator of the scanner needing to input user credentials. Upon activating the button, or otherwise triggering the request for a review, pre-stored login credentials are automatically retrieved and used for connecting the operator to the room. The remote reviewer may be connected to the room upon accepting the request for review, without having to input user credentials, which are pre-stored and automatically retrieved.

Abstract: A plurality of ultrasound frames of a fetus are acquired using an ultrasound scanner, which may be oriented arbitrarily with respect to the fetus during the acquisition. The ultrasound frames are processed against an artificial intelligence model to predict a different cut line on each of the ultrasound frames. Each cut line is predicted to be exterior to an image of the fetus appearing on the ultrasound frame. The different cut lines on the plurality of ultrasound frames are then used to identify ultrasound data in the image frames to generate a 3D representation of the fetus.

Abstract: Ultrasound images are adjusted according to the size of the display area available to display them, so that image detail is displayed with a large enough physical size to discern comfortably. A translation ratio is determined for translating the physical distance traversed by the ultrasound signals of an ultrasound images to a corresponding physical distance on a screen of the display device. If the ratio is not below a threshold, the image is displayed in full. If the ratio is below the threshold, the image is cropped, optionally scaled, and displayed in the available area. Scaling and cropping may be based on window size and threshold window size. The parameters of the ultrasound scan may be controlled based on the scaling, cropping, or available screen size. User interface features may be displayed on the screen depending on how much area is available when the image is displayed.