Abstract: A method for qualifying a trained machine learning model. The method includes receiving a trained machine learning model, determining one or more model behavior features, performing an evaluation of a test dataset based on the test data criteria, and determining a qualification result based on the one or more model behavior features and the evaluation of the test dataset.

Abstract: The invention refers to an apparatus that allows to improve the image quality of nuclear images, e.g. PET images. The apparatus (110) comprises a providing unit (111) for providing nuclear image data of a region of interest, a providing unit (112) for providing a motion signal indicative of a motion of the region of interest, a determination unit (113) for determining different motion states of the region of interest based on the motion signal, a determination unit (114) for determining for each motion state nuclear image data corresponding to the motion state, a reconstruction unit (115) for reconstructing an absorption map for each motion state based on the corresponding nuclear image data of the respective motion state, and a reconstruction unit (116) for reconstructing one or more nuclear images of the region of interest based on the nuclear image data and the absorption maps reconstructed for each motion state.

Abstract: A system (100), method (600) and non-transitory computer-readable medium are described for performing ultrasound imaging. The method (200) includes: receiving images from a camera (602); reconstructing a body surface map from the images from the camera (604); applying a first trained computational model to the body surface map to predict a body type (606); applying a second trained computational model to predict a pose of the body (608); andidentifying, on the body surface map, a portion of the body to be obscured, and a portion of the body to be imaged (610) during the ultrasound imaging method.

Abstract: A method for managing new cloud resources in a cloud computing environment. The method includes detecting the creation of a new cloud resource and obtaining its associated metadata. The metadata of the new resource is compared with that of existing cloud resources to identify an existing resource that is the same or similar. A security rule controlling network traffic to or from the identified existing resource is then identified. The method either updates this existing security rule to include the new cloud resource or generates a new rule. This updated or new security rule controls network traffic, allowing or denying communication between the new cloud resource and other cloud resources in the environment.

Abstract: A system (100) for ultrasound (US) medical imaging is disclosed. The system (100) includes an ultrasound imaging device (110); and a memory (130) adapted to store: a trained predictive model comprising instructions; prior imaging data for a patient (105), or prior non-imaging data for the patient (105), or both; segmented relevant structures from the prior imaging data; and extracted quantitative parameters of the patient (105) from the segmented relevant structures. The system (100) comprises a controller (120). The instructions, when executed by the controller (120), cause the controller (120), based on the quantitative parameters, to determine whether or not to apply a contrast agent to the patient (105). A method (300) and a tangible, non-transitory computer readable medium that stores the instructions are also described.

Abstract: A system for medical imaging is disclosed. The system includes an ultrasound (US) probe connected by a US cable having a sensor along its length. The sensor is adapted to gather measurement data from the US cable. The system also has a processor and a memory. The memory stores instructions, which when executed by the processor, cause the processor to: input the measurement data to a trained computational model; and apply the trained computational model to the measurement data to predict cable integrity of the US cable based on ground truth data, or to forecast a remaining useful life (RUL) of the US cable using ground truth data, or both. A sensor including a flexible textile-like substrate is also described. The sensor is embedded in the substrate and along a length of the US cable.

Abstract: A rotary pump including: a pump housing including a delivery chamber, having an inlet and an outlet for a fluid; a delivery member which can be rotated about a rotational axis in the delivery chamber in order to deliver the fluid; a setting structure which can be moved translationally back and forth in the pump housing relative to the delivery member in and counter to a setting direction in order to adjust the delivery volume of the rotary pump; a setting device for generating a setting force which acts on the setting structure in the setting direction; a restoring spring for exerting a restoring force which acts on the setting structure counter to the setting direction; and an additional spring for exerting an additional force which acts on the setting structure in or counter to the setting direction.

Abstract: A fluid delivery system includes a reservoir for storing fluid, a rotary pump having a first pump port and a second pump port, a first fluid conduit connecting the first pump port to the reservoir, and a second fluid conduit connecting the second pump port to the reservoir. The rotary pump rotates in a first delivery direction in a normal mode and in a second delivery direction in an alternative mode. A first valve separates the first pump port from the reservoir when the rotary pump is in its alternative mode, and a second valve separates the second pump port from the reservoir when the rotary pump is in its normal mode.

Abstract: A system (100) for transferring data (110) generated by a medical imaging system over a communication network (120), is provided. The system includes a processing arrangement (130, 140) configured to identify (S120) one or more protected health information, PHI, elements (110?) in the data (110); obscure (S130) the one or more PHI elements (110?) in the data (110) to provide de-identified data (110?); transmit (S140) the de-identified data (110?) over the communication network (120); and receive (S150) the de-identified data (110?) at a remote terminal (150).

Abstract: A method for providing feedback data in a medical imaging system (22) for a medical imaging process, comprising the steps of: providing, by a calculation unit, a simulation model, trained to predict an appearance of a medical image to be acquired by using the medical imaging system (22) from a relation between subject positioning data associated with a captured positioning of a subject (27), equipment positioning data associated with a captured positioning of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in a medical imaging system (22), and medical image data associated with the subject positioning data and the medical care and/or monitoring equipment positioning data (S10); obtaining, by the calculation unit, from at least one measuring means (25, 26), current subject positioning data of a subject (27) and current medical equipment positioning data of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in the m

Abstract: A system, method, and computer-readable medium are disclosed for extracting breathing pattern data from ultrasound images for aiding downstream clinical patient management, including detecting a trigger event indicative of a breathing pattern from at least one of an audio-based trigger and an image-based trigger from an ultrasound video stream. The presently disclosed technique may further include identifying a breathing pattern in the ultrasound video stream responsive to detection of the trigger event. The presently disclosed technique may also include extraction of at least one breathing-related parameter and the generation of a record with the at least one breathing-related parameter.

Abstract: A lung injury monitoring system (200) configured to monitor a patient's lungs during ventilation. comprising: an ultrasound device (280) configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient: a processor (220) configured to: (i) receive the obtained ultrasound image: (ii) determine a ventilation phase of the ventilator: (iii) analyze the received ultrasound image: and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI): and a user interface (240) configured to display the determined risk score for the potential VALI.

Abstract: An oil sump for supplying an assembly of a motor vehicle, including: a housing including a housing frame, a housing base and a housing cover; and an oil accommodating space enclosed by the housing, and a suction channel which extends into the oil accommodating space and includes an opening via which oil can be delivered or suctioned from the oil accommodating space through the suction channel. The housing frame is arranged between the housing cover and the housing base. The housing frame itself and/or the housing frame together with the housing base and/or the housing cover forms one or more oil channels.

Abstract: An oil sump for supplying an assembly of a motor vehicle, including: a housing including a housing frame and a closure part, such as for example a housing cover, which is joined to the housing frame; an oil accommodating space enclosed by the housing. The housing frame circumferentially surrounds the oil accommodating space; and a suction channel which extends into the oil accommodating space and includes an opening via which oil can be delivered or suctioned from the oil accommodating space through the suction channel. The suction channel is formed by the housing frame and the closure part.

Abstract: A system (100) for medical imaging is disclosed. The system (100) includes: a computer tomography (CT) device (502) having a table (106); a memory (130) adapted to store: a computational model (211) including instructions; an updated measurement of blood flow speed at at least some of a plurality of specific locations (201) in a portion of the body, or at at least one other location in the portion of the body, or both; and an inferred blood flow speed throughout the portion of the body based on the computational model (211); and a processor. The instructions, when executed by the processor, cause the processor to: determine a contrast medium injection duration, and a speed of the table (106) prior to a CT scan (402) based on the inferred blood flow speed.

Abstract: The present invention relates to a computer-implemented method for generating a simulated CBCT image based on a computed tomography image. A computed tomography image is converted into attenuation coefficients of the represented tissue, and the computed tomography image is forward-projected to a projection image based on scanner parameters of a simulated CBCT scanner. After the addition of artificial noise to the projection image representing noise detected by the simulated CBCT scanner, the projection image is back-projected with a reconstruction algorithm for the generation of a simulated CBCT image of the subject. The present invention relates further to a method for generating training data for training an artificial intelligence module based on the simulated images, and to methods for registering a computed tomography image to a CBCT image and for segmenting a CBCT image with an artificial intelligence module trained with training data comprising the simulated CBCT images.

Abstract: A system (100) for medical imaging is described. The system (100) includes: a computer tomography (CT) device (502) having a table (106); a processor; and a memory (130) that stores instructions. When executed by the processor, the instructions cause the processor to: compile ground truth data from measured BFS at a plurality of locations of an examined portion of a body, including each of a plurality of specific locations (201); train a computational model (211) to predict BFS using the ground truth data; infer BFS's throughout the examined portion of the body based on the computational model (211); and determine a contrast medium injection duration, or a speed of a table (106), or both, prior to a CT scan (402) based on the inferred BFS's. A method (600) and a tangible non-transitory computer readable medium are also disclosed.

Abstract: A method and an ultrasound system configured for identifying recommended post-exam disinfection and cleaning steps and providing an alert of the recommended disinfection and cleaning steps to a user of the ultrasound system. The system obtains clinical informatics, examination details, user selected ultrasound exam settings, and ultrasound images and annotations. The system determines a recommended disinfection classification based on the clinical informatics, examination details, user selected ultrasound exam settings, and ultrasound images and annotations. The, the system provides an alert to a user to conduct a post exam disinfection procedure; the alert including the recommended disinfection classification.

Abstract: Augmented reality (AR) servicing guidance uses a mobile device (30, 90) with a display and a camera. Computer vision (CV) processing (102) such as Simultaneous Location and Mapping (SLAM) is performed to align AR content (80) with a live video feed (96) captured by the camera. The aligned AR content is displayed on the display of the mobile device. In one example, the mobile device is a head-up display (HUD) (90) with a transparent display (92, 94) and camera (20). In another example the mobile device is a cellphone or tablet computer (30) with a front display (34) and a rear-facing camera (36). The AR content (80) is generated by CV processing (54) to align (70) AR content with recorded video (40) of a service call. The aligning (72) includes aligning locations of interest (LOIs) identified in the recorded video of the service call by a user input.

Abstract: It is disclosed a ventilator (9A, 9) comprises a housing (20) having opposite first (21) and second ends (22) and an axial rotor (23) arranged in a ventilator flow path (23A), wherein the ventilator flow path (23A) has an inlet at the first end (21) of the housing (20) and an outlet (22A) at the second end of the housing (20) and wherein an additional flow path (25) is present comprising one or more sensors and which additional flow path (25) fluidly connects an opening (16, 24) in the housing (20) with the ventilator flow path (23A) for drawing in air due to a venturi effect via the additional flow path (25) towards the ventilator flow path (23A), wherein the sensors are temperature and/or humidity sensors.