Abstract: In some embodiments, a system generates a map of a care facility. The system comprises one or more sensors coupled to a computing device and configured to generate sensor data corresponding to locations inside the care facility. The computing device is configured to: determine, for the locations, features of the care facility based on the sensor data; and generate, based on the features, the map of the care facility that includes the locations.

Abstract: Systems and methods for a combination ocular ultrasound and ophthalmoscope are described. In some implementations, a combination ocular ultrasound and ophthalmoscope device generates first ultrasound data from an ultrasound scan of an eye of a user using a first ultrasound scanner and generates optical data from an optical scan of the eye of the user using an optical sensor. The device generates an ultrasound image from the first ultrasound data and an optical image from the optical data. A hybrid image can be generated by the device from the first ultrasound data and the optical data, the hybrid image generated through the use of a machine-learned model. The combination ocular ultrasound and ophthalmoscope device can increase diagnosis confidence, injury identification, and patient comfort and experience in comparison to conventional, disconnected ultrasound and ophthalmoscope devices and systems.

Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

Abstract: An ultrasound system includes an ultrasound scanner configured to transmit ultrasound at a patient anatomy and generate ultrasound data as part of an ultrasound examination. The ultrasound system also includes an ultrasound machine configured to generate, based on the ultrasound data, an ultrasound image. The ultrasound system also includes a processor system implemented to determine features selected from the group consisting of regional features, patient features, clinician features, and ultrasound examination feature. The processor system is implemented to generate, based on the ultrasound image and the features, a patient recommendation.

Abstract: An ultrasound system includes an ultrasound scanner configured to transmit ultrasound at a patient anatomy and generate ultrasound data as part of an ultrasound examination. The ultrasound system also includes an ultrasound machine configured to generate, based on the ultrasound data, an ultrasound image. The ultrasound system also includes a processor system implemented to determine features selected from the group consisting of regional features, patient features, clinician features, and ultrasound examination feature. The processor system is implemented to generate, based on the ultrasound image and the features, a patient recommendation.

Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

Abstract: An ultrasound system includes an ultrasound scanner, a patient-worn registration system configured in at least a one-way communication with an interventional instrument, and a processor system. The processor system is configured to determine, based on the ultrasound data and positional data of the ultrasound scanner, a first location of the patient anatomy relative to the patient-worn registration system, determine, based on the at least a one-way communication, a second location of the interventional instrument relative to the patient-worn registration system; and determine, based on the first location and the second location, a third location of the interventional instrument relative to the patient anatomy. The processor system is configured to display a depiction of the patient anatomy based on the ultrasound data and a visual representation of the interventional instrument at the third location on a display device.

Abstract: Embodiments of ultrasound utility station and methods for using the same are disclosed. In some embodiments, the method includes displaying a status of the ultrasound machine that indicates a location of the ultrasound machine and an amount of charge of a battery of the ultrasound machine, and displaying an additional status that indicates an additional location of the ultrasound utility station and one or more available ultrasound probes on the ultrasound utility station. After receiving a selection of an ultrasound probe of the available ultrasound probes and a user input that determines a schedule for said configuring the ultrasound machine, the method instructs the ultrasound utility station to charge the battery of the ultrasound machine and provide the ultrasound probe for transfer to the ultrasound machine.

Abstract: Systems and methods for a dynamic scroll mode are described. In some embodiments, an ultrasound system includes a display device that is configured to simultaneously display an ultrasound image and an additional image. The ultrasound system includes a processor system that is configured to cause the display device to change the simultaneous display so that one of the ultrasound image and the additional image increases in size by an amount and the other of the ultrasound image and the additional image decreases in size by an additional amount that is based on the amount.

Abstract: Systems and methods for anatomy-directed ultrasound are described. In some implementations, an anatomy-directed ultrasound system generates ultrasound data from an ultrasound scan of an anatomy, which is a bodily structure of an organism (e.g., human or animal). The system identifies organs represented in the ultrasound data and information associated with the organs including position and type of organ. Using this information, the system obtains or generates new ultrasound data that includes a region in which an item of interest is likely to be located. For example, the system can crop the original ultrasound data, refocus the ultrasound scan (e.g., by adjusting imaging parameters) to image the region that is likely to include the item of interest, or generate a weight map indicating the region. The anatomy-directed ultrasound system can increase accuracy and reduce the number of false positives in comparison to the number detected by conventional ultrasound systems.

Abstract: Systems and methods for automated ultrasound credentialing are described. In some embodiments, a credentialing system for issuing a sonographer credential to a sonography candidate includes an ultrasound probe coupled to a computing device and configured to generate ultrasound data. The computing device is configured to generate, based on the ultrasound data and as part of an automated review, an ultrasound examination score. The computing device is configured to transfer, based on the ultrasound examination score, the sonography candidate from the automated review to a manual review by a reviewer.

Abstract: Systems and methods for automated ultrasound credentialing are described. In some embodiments, a credentialing system for issuing a sonographer credential to a sonography candidate includes an ultrasound probe coupled to a computing device and configured to generate ultrasound data. The computing device is configured to generate, based on the ultrasound data and as part of an automated review, an ultrasound examination score. The computing device is configured to transfer, based on the ultrasound examination score, the sonography candidate from the automated review to a manual review by a reviewer.

Abstract: Embodiments of ultrasound utility station and methods for using the same are disclosed. In some embodiments, the method includes displaying a status of the ultrasound machine that indicates a location of the ultrasound machine and an amount of charge of a battery of the ultrasound machine, and displaying an additional status that indicates an additional location of the ultrasound utility station and one or more available ultrasound probes on the ultrasound utility station. After receiving a selection of an ultrasound probe of the available ultrasound probes and a user input that determines a schedule for said configuring the ultrasound machine, the method instructs the ultrasound utility station to charge the battery of the ultrasound machine and provide the ultrasound probe for transfer to the ultrasound machine.

Abstract: Systems and methods for automated ultrasound credentialing are described. In some embodiments, a credentialing system for issuing a sonographer credential to a sonography candidate includes an ultrasound probe coupled to a computing device and configured to generate ultrasound data. The computing device is configured to generate, based on the ultrasound data and as part of an automated review, an ultrasound examination score. The computing device is configured to transfer, based on the ultrasound examination score, the sonography candidate from the automated review to a manual review by a reviewer.

Abstract: Systems and methods to configure ultrasound systems based on a scanner grip are described. In some embodiments, an ultrasound system includes an ultrasound scanner having a touch sensitive surface and a processor that is configured to determine a grip orientation on the touch sensitive surface; and activate, based on the grip orientation, a region of the touch sensitive surface to accept a user input.

Abstract: Embodiments of ultrasound utility station and methods for using the same are disclosed. In some embodiments, the method includes displaying a status of the ultrasound machine that indicates a location of the ultrasound machine and an amount of charge of a battery of the ultrasound machine, and displaying an additional status that indicates an additional location of the ultrasound utility station and one or more available ultrasound probes on the ultrasound utility station. After receiving a selection of an ultrasound probe of the available ultrasound probes and a user input that determines a schedule for said configuring the ultrasound machine, the method instructs the ultrasound utility station to charge the battery of the ultrasound machine and provide the ultrasound probe for transfer to the ultrasound machine.

Abstract: Embodiments of ultrasound utility station and methods for using the same are disclosed. In some embodiments, the method includes displaying a status of the ultrasound machine that indicates a location of the ultrasound machine and an amount of charge of a battery of the ultrasound machine, and displaying an additional status that indicates an additional location of the ultrasound utility station and one or more available ultrasound probes on the ultrasound utility station. After receiving a selection of an ultrasound probe of the available ultrasound probes and a user input that determines a schedule for said configuring the ultrasound machine, the method instructs the ultrasound utility station to charge the battery of the ultrasound machine and provide the ultrasound probe for transfer to the ultrasound machine.

Abstract: In some embodiments, a system generates a map of a care facility. The system comprises one or more sensors coupled to a computing device and configured to generate sensor data corresponding to locations inside the care facility. The computing device is configured to: determine, for the locations, features of the care facility based on the sensor data; and generate, based on the features, the map of the care facility that includes the locations.

Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

Abstract: Certain embodiments describe a system, method, and apparatus for ultrasound imaging. For example, the system can include a probe comprising a transducer configured to transmit or receive ultrasound waves. The system can also include a display communicatively coupled to the probe and one or more processors. The one or more processors cause the ultrasound system to detect, using the probe, one or more markings of a membrane located on a skin of a patient. The ultrasound system is also caused to determine position of the probe based on the one or more markings. In addition, the ultrasound system is caused to render on the display an indication of the position of the probe.