Abstract: A vehicle storage assembly of the vehicle is provided. The vehicle storage assembly if the vehicle includes a storage compartment comprising an opening to permit access to the compartment, a door proximate the opening and movable between an open position and a closed position, a latching mechanism comprising a residual magnet for latching a door in the closed position in a first magnetic state and for releasing the door to open to the open position in a second magnetic state, and a proximity switch for activating the latching mechanism to allow the door to move to the open position.

Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images includes accessing an identification of a target lesion in one or more cross-sectional images at a computing system, determining a computer segmentation of the target lesion, and, based upon the computer segmentation, automatically determining one or more lesion metrics for the target lesion. The one or more lesion metrics includes at least a target lesion length. The target lesion length includes a short axis measurement when the target lesion is a lymph node, and the target lesion length includes a long axis measurement when the target lesion is not a lymph node. The computer-implemented method further includes generating a summary display including at least the target lesion length.

Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.

Abstract: A computer-implemented method for facilitating opportunistic screening for cardiomegaly includes obtaining a set of computed tomography (CT) images. The set of CT images captures at least a portion of a heart of a patient, and the set of CT images is captured for a purpose independent of assessing cardiomegaly. The method further includes using the set of CT images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on CT image set input. The method also includes obtaining heart measurement output generated by the AI module and, based on the heart measurement output, classifying the patient into one of a plurality of risk levels for cardiomegaly. The classification is operable to trigger additional action based on the corresponding risk level for the patient.

Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.

Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.

Abstract: A sensor assembly includes a housing defining a chamber and including a panel including an aperture; a camera disposed inside the chamber and including a base, a lens spaced from the base, and a tube elongated from the base to the lens; and a tunnel mounted to the base and elongated concentrically with the tube. The lens defines a field of view of the camera through the aperture. The tunnel defines a concentric gap between the tube and the tunnel from the base to the lens.

Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.

Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.

Abstract: A system for facilitating lesion analysis is configurable to identify a user profile associated with a user accessing the system. The user profile indicates a radiology specialty associated with the user. The system is also configurable to access a plurality of cross-sectional medical images associated with a particular patient and identify a subset of cross-sectional medical images from the plurality of cross-sectional medical images that correspond to the radiology specialty indicated by the user profile. The system is also configurable to present the subset of cross-sectional medical images to the user in navigable form.

Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.

Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.

Abstract: A system for facilitating lesion analysis is configurable to identify a user profile associated with a user accessing the system. The user profile indicates a radiology specialty associated with the user. The system is also configurable to access a plurality of cross-sectional medical images associated with a particular patient and identify a subset of cross-sectional medical images from the plurality of cross-sectional medical images that correspond to the radiology specialty indicated by the user profile. The system is also configurable to present the subset of cross-sectional medical images to the user in navigable form.

Abstract: A fluid delivery system includes N first valves. Inlets of the N first valves are fluidly connected to N gas sources, respectively, where N is an integer greater than zero. N mass flow controllers include a microelectromechanical (MEMS) Coriolis flow sensor having an inlet in fluid communication with an outlet of a corresponding one of the N first valves. A second valve has an inlet in fluid communication with an outlet of the MEMS Coriolis flow sensor and an outlet supplying fluid to treat a substrate arranged in a processing chamber. A controller in communication with the MEMS Coriolis flow sensor is configured to determine at least one of a mass flow rate and a density of fluid flowing through the MEMS Coriolis flow sensor.

Abstract: A mass flow controller assembly includes a housing defining a cavity, a plurality of internal passages, a first inlet, a first outlet, a second inlet, and a second outlet. A valve is connected to the housing, has an inlet fluidly coupled to the second outlet of the housing and an outlet fluidly coupled to the second inlet of the housing. The valve is configured to control fluid flow from the second outlet of the housing to the second inlet of the housing. A microelectromechanical (MEMS) Coriolis flow sensor is arranged in the cavity, includes an inlet fluidly coupled by at least one of the plurality of internal passages to the first inlet of the housing and is configured to measure at least one of a mass flow rate and density of fluid flowing through the MEMS Coriolis flow sensor. An outlet of the MEMS Coriolis flow sensor is fluidly coupled by at least one of the plurality of internal passages to the second outlet of the housing.

Abstract: A vehicle storage assembly of the vehicle is provided. The vehicle storage assembly if the vehicle includes a storage compartment comprising an opening to permit access to the compartment, a door proximate the opening and movable between an open position and a closed position, a latching mechanism comprising a residual magnet for latching a door in the closed position in a first magnetic state and for releasing the door to open to the open position in a second magnetic state, and a proximity switch for activating the latching mechanism to allow the door to move to the open position.

Abstract: An assembly includes a housing defining a chamber. The assembly includes a sensor supported by the housing. The assembly includes a deflector forward of the sensor and having a front surface designed to direct air upward and a rear surface opposite the front surface. The housing has a vent in fluid communication with the chamber and aimed at the rear surface of the deflector.

Abstract: A sensor assembly includes a housing defining a chamber and including a panel including an aperture; a camera disposed inside the chamber and including a base, a lens spaced from the base, and a tube elongated from the base to the lens; and a tunnel mounted to the base and elongated concentrically with the tube. The lens defines a field of view of the camera through the aperture. The tunnel defines a concentric gap between the tube and the tunnel from the base to the lens.

Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.

Abstract: A sensor apparatus includes a LIDAR sensor, a camera having a field of view encompassing a volume directly forward of the LIDAR sensor, a nozzle aimed at least partially upward and positioned forward of the LIDAR sensor, and a computer programmed to increase output from the nozzle upon determining that an object is traveling rearward through the field of view based on data received from the camera.