Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes assigning, with a neural network implemented at least partially in hardware of the computing device, one of a vein classification and an artery classification to one or more blood vessels in ultrasound images. The method also includes determining a misclassification for one blood vessel that denotes the neural network assigning the one of the vein classification and the artery classification to the one blood vessel in one ultrasound image and the other of the vein classification and the artery classification to the one blood vessel in additional ultrasound images. The method includes displaying, in the one ultrasound image, an indication of the other of the vein classification and the artery classification for the one blood vessel.

Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving an ultrasound image that includes one or more blood vessels, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the one or more blood vessels in the ultrasound image. The method includes receiving a user selection of an instrument size, and indicating, in the ultrasound image, at least one blood vessel of the one or more blood vessels based on the instrument size and the diameters of the one or more blood vessels.

Abstract: Systems and methods to detect electromagnetic (EM) emissions on ultrasound systems are described. In some embodiments, an ultrasound system includes an ultrasound scanner that is configured to generate ultrasound data based on reflections of ultrasound signals transmitted by the ultrasound scanner. An ultrasound machine is coupled to the ultrasound scanner and configured to generate an ultrasound image based on the ultrasound data. A circuit is coupled to the ultrasound machine and configured to make a determination whether the ultrasound image is corrupted by a noise process.

Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving ultrasound images that include a blood vessel, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the blood vessel in the ultrasound images. The diameters include a respective diameter of the blood vessel for each ultrasound image of the ultrasound images. The method includes determining a blood vessel diameter based on the diameters of the blood vessel, selecting a color based on the blood vessel diameter, and indicating, in one of the ultrasound images, the blood vessel with an indicator having the color.

Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving an ultrasound image that includes one or more blood vessels, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the one or more blood vessels in the ultrasound image. The method includes receiving a user selection of an instrument size, and indicating, in the ultrasound image, at least one blood vessel of the one or more blood vessels based on the instrument size and the diameters of the one or more blood vessels.

Abstract: A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes assigning, with a neural network implemented at least partially in hardware of the computing device, one of a vein classification and an artery classification to one or more blood vessels in ultrasound images. The method also includes determining a misclassification for one blood vessel that denotes the neural network assigning the one of the vein classification and the artery classification to the one blood vessel in one ultrasound image and the other of the vein classification and the artery classification to the one blood vessel in additional ultrasound images. The method includes displaying, in the one ultrasound image, an indication of the other of the vein classification and the artery classification for the one blood vessel.

Abstract: A method for calculating a heart parameter includes receiving a series of two-dimensional images of a heart, the series covering at least one heart cycle. The method includes calculating a volume of the heart in a first systole image based on an orientation of the heart in the first systole image and a segmentation of the heart in the first systole image, and a volume of the heart in a first diastole image based at least on an orientation of the heart in the first diastole image and a segmentation of the heart in the first diastole image; determining the heart parameter based at least on the volume of the heart in the first systole image and the volume of the heart in the first diastole image; determining a confidence score of the heart parameter; and displaying the heart parameter and the confidence score.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.