Abstract: Methods for diagnosing if a patient is suffering from a stroke include: positioning a headset around the patient's head to receive vibrations generated by a cerebral vasculature of the patient's brain, the headset including at least one microphone or accelerometer; processing the received vibrations to obtain a signal; analyzing the signal to identify a pattern indicative of a stroke; and determining that the patient is suffering from a stroke based upon the result of a CT scan of the patient's brain and neck and the identified pattern indicative of a stroke.

Abstract: A claim adjudication system including an automatic adjudication pipeline that uses pipeline rules to automatically adjudicate a claim associated with a benefit plan at one or more stages. The automatic adjudication pipeline can redirect the claim to a user interface for manual review when a pipeline rule associated with a manual review condition is triggered. The user interface can present information about the claim relevant to the manual review condition in an integrated format, including highlighting the reasons for the manual review. A user can evaluate the claim in the user interface and provide user input that addresses the manual review condition, and the claim can be routed back to the automatic adjudication pipeline. The user input can also be used as training data for machine learning to adjust pipeline rules that are used to automatically process claims and to redirect future claims for manual review.

Abstract: An ultrasound system may include an ultrasound device that includes a first wired communication module and a first wireless communication module. The ultrasound system may further include a processing device that includes a second wired communication module and a second wireless communication module. The processing device may pair with the ultrasound device over a wireless connection using the first wireless communication module and the second wireless communication module. The processing device may further indicate a wireless connection on a display screen of the processing device. The processing device may further conduct an ultrasound imaging session over the wireless connection. The processing device may further determine that a cable has been connected between the ultrasound device and the processing device. The processing device may further terminate the wireless connection with the ultrasound device.

Abstract: Aspects of the technology described herein relate to detecting degrade ultrasound imaging frame rate. Some embodiments include receiving ultrasound data from the ultrasound device, generating ultrasound images from the ultrasound data, taking one or more measurements of ultrasound imaging frame rate based on the ultrasound images, comparing the one or more measurements of ultrasound imaging frame rate to an reference ultrasound imaging frame rate value, and based on a result of comparing the one or more measurements of ultrasound imaging frame rate to the reference ultrasound imaging frame rate value, providing a notification and/or disabling an ultrasound imaging preset and/or an ultrasound imaging mode with which the ultrasound device was configured.

Abstract: Aspects of the technology described herein relate to detecting degrade ultrasound imaging frame rate. Some embodiments include receiving ultrasound data from the ultrasound device, generating ultrasound images from the ultrasound data, taking one or more measurements of ultrasound imaging frame rate based on the ultrasound images, comparing the one or more measurements of ultrasound imaging frame rate to an reference ultrasound imaging frame rate value, and based on a result of comparing the one or more measurements of ultrasound imaging frame rate to the reference ultrasound imaging frame rate value, providing a notification and/or disabling an ultrasound imaging preset and/or an ultrasound imaging mode with which the ultrasound device was configured.

Abstract: A method of monitoring high frequency oscillatory ventilation (HFOV) wherein the oscillatory movement of the chest wall of an individual is measured. An average amplitude is determined and compared to a pre-determined baseline amplitude, which is established by using the average amplitude at a particular instant of time. If the variance between the average amplitude and the baseline meets and/or exceeds a pre-determined threshold above or below the baseline value, an operator is alerted.