Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. An example system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses the fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of the fluid in the chamber. The example system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. An example method may comprise capturing the image of the pump; processing the image; and displaying information to the user of the pump to communicate a condition of the pump to the user. Various elastomeric pumps for infusion assemblies also are provided.

Abstract: A non-electrically driven enteral feeding pump including an expandable elastomeric bladder is provided. The enteral feeding pump includes a fluid delivery tube. The fluid delivery tube controls flow rate of fluid from the pump. The present invention further describes an enteral feeding pump assembly including the portable enteral feeding pump and a peristaltic pump. The peristaltic pump can be configured to be operatively coupled to the elastomeric bladder of the enteral feeding pump for transferring fluid from a reservoir external to the elastomeric bladder into a chamber of the elastomeric bladder.

Abstract: A non-electrically driven enteral feeding pump including an expandable elastomeric bladder is provided. The enteral feeding pump includes a fluid delivery tube. The fluid delivery tube controls flow rate of fluid from the pump. The present invention further describes an enteral feeding pump assembly including the portable enteral feeding pump and a peristaltic pump. The peristaltic pump can be configured to be operatively coupled to the elastomeric bladder of the enteral feeding pump for transferring fluid from a reservoir external to the elastomeric bladder into a chamber of the elastomeric bladder.

Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. A system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of fluid in the chamber. The system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. A method may comprise capturing an image of a pump; processing the image; and displaying information to a user of the pump to communicate the condition of the pump to the user. Elastomeric pumps for infusion assemblies also are provided.

Abstract: A method for scanning, identifying, and navigating at least one anatomical object of a patient via an imaging system. Such system includes scanning the anatomical object via a probe of the imaging system, identifying the anatomical object via the probe, and navigating the anatomical object via the probe. Further, the method includes collecting data, inputting the collected data into a deep learning network configured to learn the scanning, identifying, and navigating steps. In addition, the method includes generating a probe visualization guide for an operator based on the deep learning network. Thus, the method also includes displaying the probe visualization guide to the operator wherein the probe visualization guide instructs the operator how to maneuver the probe so as to locate the anatomical object. In addition, the method also includes using haptic feedback in the probe to guide the operator to the anatomical object of the patient.

Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. A system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of fluid in the chamber. The system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. A method may comprise capturing an image of a pump; processing the image; and displaying information to a user of the pump to communicate the condition of the pump to the user. Elastomeric pumps for infusion assemblies also are provided.

Abstract: A needle assembly for use with an autonomous ultrasound imaging system includes a needle having a proximal end and a distal end adapted to be inserted into a patient. The needle assembly also includes a needle transducer mounted to an exterior surface of the needle and is electrically coupled to a power source. The needle transducer is configured to receive data signals from the autonomous ultrasound imaging system which contain information relating to a plurality of ultrasound waves generated by an ultrasound probe of the autonomous ultrasound imaging system.

Abstract: A non-electrically driven enteral feeding pump including an expandable elastomeric bladder is provided. The enteral feeding pump includes a fluid delivery tube. The fluid delivery tube controls flow rate of fluid from the pump. The present invention further describes an enteral feeding pump assembly including the portable enteral feeding pump and a peristaltic pump. The peristaltic pump can be configured to be operatively coupled to the elastomeric bladder of the enteral feeding pump for transferring fluid from a reservoir external to the elastomeric bladder into a chamber of the elastomeric bladder.

Abstract: The present invention is directed to a system and method for automatic detection, localization, and semantic segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image of the anatomical object and surrounding tissue to a processor. Further, the method includes developing and training a parameter space deep learning network comprising convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image. The method also includes automatically locating and segmenting, via additional convolutional neural networks, the anatomical object and surrounding tissue of the parameter space of the image. Moreover, the method includes automatically labeling the identified anatomical object and surrounding tissue on the image. Thus, the method also includes displaying the labeled image to a user in real time.

Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. A system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of fluid in the chamber. The system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. A method may comprise capturing an image of a pump; processing the image; and displaying information to a user of the pump to communicate the condition of the pump to the user. Elastomeric pumps for infusion assemblies also are provided.

Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. A system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of fluid in the chamber. The system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. A method may comprise capturing an image of a pump; processing the image; and displaying information to a user of the pump to communicate the condition of the pump to the user. Elastomeric pumps for infusion assemblies also are provided.

Abstract: A needle assembly for use with an autonomous ultrasound imaging system includes a needle having a proximal end and a distal end adapted to be inserted into a patient. The needle assembly also includes a needle transducer mounted to an exterior surface of the needle and is electrically coupled to a power source. The needle transducer is configured to receive data signals from the autonomous ultrasound imaging system which contain information relating to a plurality of ultrasound waves generated by an ultrasound probe of the autonomous ultrasound imaging system.

Abstract: A needle assembly for use with an autonomous ultrasound imaging system includes a needle having a proximal end and a distal end adapted to be inserted into a patient. The needle assembly also includes a needle transducer mounted to an exterior surface of the needle and is electrically coupled to a power source. The needle transducer is configured to receive data signals from the autonomous ultrasound imaging system which contain information relating to a plurality of ultrasound waves generated by an ultrasound probe of the autonomous ultrasound imaging system.

Abstract: The present invention is directed to a system and method for providing navigational directions to a user to locate a target anatomical object during a medical procedure via a medical imaging system. The method includes selecting an anatomical region surrounding the object; generating a plurality of real-time two-dimensional images of scenes from the anatomical region and providing the plurality of images to a controller; developing and training a deep learning network to automatically detect and identify the scenes from the anatomical region; automatically mapping each of the plurality of images from the anatomical region based on a relative spatial location and a relative temporal location of each of the identified scenes in the anatomical region via the deep learning network; and providing directions to the user to locate the object during the medical procedure based on the relative spatial and temporal locations of each of the identified scenes.

Abstract: A method for scanning, identifying, and navigating at least one anatomical object of a patient via an imaging system includes scanning the anatomical object via a probe of the imaging system, identifying the anatomical object via the probe, and navigating the anatomical object via the probe. Further, the method includes collecting data relating to operation of the probe during the scanning, identifying, and navigating steps. Moreover, the method includes inputting the collected data into a deep learning network configured to learn the scanning, identifying, and navigating steps. In addition, the method includes generating a probe visualization guide for an operator based on the deep learning network. Thus, the method also includes displaying the probe visualization guide to the operator via a user display of the imaging system, wherein the probe visualization guide instructs the operator how to maneuver the probe so as to locate the anatomical object.

Abstract: The present invention is directed to a method for scanning, identifying, and navigating anatomical object(s) of a patient via an articulating arm of an imaging system. The method includes scanning the anatomical object via a probe of the imaging system, identifying the anatomical object, and navigating the anatomical object via the probe. The method also includes collecting data relating to the anatomical object during the scanning, identifying, and navigating steps. Further, the method includes inputting the collected data into a deep learning network configured to learn the scanning, identifying, and navigating steps relating to the anatomical object. Moreover, the method includes controlling the probe via the articulating arm based on the deep learning network.

Abstract: The present invention is directed to a system and method for providing navigational directions to a user to locate a target anatomical object during a medical procedure via a medical imaging system. The method includes selecting an anatomical region surrounding the object; generating a plurality of real-time two-dimensional images of scenes from the anatomical region and providing the plurality of images to a controller; developing and training a deep learning network to automatically detect and identify the scenes from the anatomical region; automatically mapping each of the plurality of images from the anatomical region based on a relative spatial location and a relative temporal location of each of the identified scenes in the anatomical region via the deep learning network; and providing directions to the user to locate the object during the medical procedure based on the relative spatial and temporal locations of each of the identified scenes.

Abstract: The present invention is directed to a system and method for automatic detection, localization, and semantic segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image of the anatomical object and surrounding tissue to a processor. Further, the method includes developing and training a parameter space deep learning network comprising convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image. The method also includes automatically locating and segmenting, via additional convolutional neural networks, the anatomical object and surrounding tissue of the parameter space of the image. Moreover, the method includes automatically labeling the identified anatomical object and surrounding tissue on the image. Thus, the method also includes displaying the labeled image to a user in real time.

Abstract: Systems and methods are provided for signaling a condition of an infusion assembly. A system may comprise an elastomeric pump that includes a chamber for receipt of a volume of fluid, an outer layer configured to expand and contract as the chamber receives and dispenses fluid, and a passive indicator provided on the outer layer for signaling a change in the volume of fluid in the chamber. The system further may comprise an image capture device configured to capture an image of the pump, and a processing system configured to process the image to signal the condition of the infusion assembly to a user of the system. A method may comprise capturing an image of a pump; processing the image; and displaying information to a user of the pump to communicate the condition of the pump to the user. Elastomeric pumps for infusion assemblies also are provided.

Abstract: The present invention is directed to an ultrasound imaging system having a motor-assisted needle guide assembly for easier needle placement during an ultrasound-guided medical procedure. The ultrasound imaging system includes an ultrasound probe having a transducer housing, a transducer transmitter, a needle guide assembly communicatively coupled to the ultrasound probe, at least one actuator component configured with the needle guide assembly, and a controller. Thus, the controller is configured to determine an insertion angle and a lateral position for the needle guide assembly with respect to the ultrasound probe based on the target site and control the actuator component based on the insertion angle and the lateral position so as to locate the needle guide assembly at the target site during a medical procedure.