Abstract: Disclosed herein is a medical instrument comprising: a memory storing machine executable instructions and a tomographic data assessment module and a processor configured for controlling the medical instrument. Execution of the machine executable instructions causes the processor to receive measured tomographic data. The measured tomographic data is configured for being reconstructed into a tomographic image of a subject. Execution of the machine executable instructions further causes the processor to receive an image quality indicator by inputting the measured tomographic data into the tomographic data assessment module. The tomographic data assessment module is configured for generating the image quality indicator in response to inputting the measured tomographic data. Execution of the machine executable instructions further causes the processor to provide the image quality indicator to an operator using an operator signaling system.

Abstract: The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (210), past frames within a selection of frames of the raw image stream are considered, which past frames already underwent image processing. A current frame of the raw image stream (210) is compared to the past frames contained in the selection of frames, and that one of the past frames is identified that is most similar to the current frame. Overlay data from the identified past frame are chosen and assigned to the current frame. Thus, the current frame can be presented together with the assigned overlay data chosen from the most similar past frame and without the need to wait for the result of a computationally expensive and time-consuming image processing of the current frame.

Abstract: When acquiring detailed utilization information from imaging equipment in a cross-vendor approach, one or more sensors (16, 18, 22, 24) are positioned within a data security zone (14) in which an imaging procedure is performed. Sensor data is pre-processed on an isolated processing unit (20) to remove any sensitive information and keep a selection of features only. The resultant feature pattern is transmitted outside of the data security zone to a processing unit (28) where pattern recognition is performed on feature pattern to identify the type of imaging modality, scan, etc. being performed as well as to determine whether the scan is being performed according to schedule.

Abstract: An apparatus (10) for generating a training set of anonymized images (40) for training an artificial intelligence (AI) component (42) from images (11) of a plurality of persons.

Abstract: To obtain feedback on image quality from qualified reviewers, an optically machine readable code (e.g., a QR code or the like) is generated for each acquired medical image and embedded into the image. The embedded code includes information to the identity of the image, the imaging device, authorized reviewers, and authorized recipients of the feedback, as well as a link to a feedback form that can be retrieved by a communication device used by an authorized user. When the embedded code is scanned by the communication device, the code is decoded and the feedback form is retrieved from a server, completed by the reviewer, and transmitted back to the authorized recipients of the feedback.

Abstract: A method (100) is disclosed for determining a signal indicative of a state of a subject during a diagnostic imaging or therapeutic procedure based on camera observation. The method comprises acquiring (101) camera images from a camera configured to monitor a body part of the subject during the procedure, e.g. via a reflection thereof in a reflective surface. The method comprises detecting (102) a shape or contour of the reflective surface in at least one acquired camera image to define a region of interest in the image that contains image information corresponding to the body part of interest, and segmenting (103) the region of interest in one or more camera images to select pixels that correspond to a feature of the body part of interest. The method also comprises determining (105) the signal indicative of the state of the subject from the selection. The invention further relates to a corresponding device, system and computer-program.

Abstract: To obtain feedback on image quality from qualified reviewers, an optically machine readable code (124) (e.g., a QR code or the like) is generated for each acquired medical image and embedded into the image. The embedded code includes information to the identity of the image, the imaging device, authorized reviewers, and authorized recipients of the feedback, as well as a link to a feedback form that can be retrieved by a communication device (38) used by an authorized user. When the embedded code is scanned by the communication device, the code is decoded and the feedback form is retrieved from a server, completed by the reviewer, and transmitted back to the authorized recipients of the feedback.

Abstract: The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data. As an example, a medical system comprising a local memory storing local machine executable instructions and a local computational system. Execution of the machine executable instructions further causes the computational system to: receive a feature vector descriptive of medical image data, wherein the feature vector is configured to be input into a decoder neural network, wherein the decoder neural network is configured to output an approximation of the medical image data when receiving at least a part of the feature vector as input, wherein the feature vector comprises a ranking assigning an importance to elements of the feature vector; and sequentially transmit portions of the feature vector to a remote computational system via a network connection, wherein the portions of the features vector with a higher importance are transmitted first.

Abstract: Some embodiments are directed to a container builder (110) for building a container image for providing an individualized network service based on sensitive data (122) in a database (121). The container builder (110) retrieves the sensitive data (122) from the database (121), builds the container image (140), and provides it for deployment to a cloud service provider (111). The container image (140) comprises the sensitive data (122) and instructions that, when deployed as a container, cause the container to provide the individualized network service based on the sensitive data (122) comprised in the container image (140).

Abstract: A method (100) for offline entry of execution information to be used by an associated execution device (14) in executing a task includes: providing a user interface (UI) (24) for receiving execution information via the at least one user input device of the defining device and for storing the execution information on the defining device or on an associated data storage accessed by the defining device via an electronic network; constructing at least one graphical pattern (42) encoding the execution information; receiving a trigger input to transfer the stored execution information to the associated execution device; and after receiving the trigger input, displaying the at least one graphical pattern encoding the execution information on the display of the defining device.

Abstract: The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (210), past frames within a selection of frames of the raw image stream are considered, which past frames already underwent image processing. A current frame of the raw image stream (210) is compared to the past frames contained in the selection of frames, and that one of the past frames is identified that is most similar to the current frame. Overlay data from the identified past frame are chosen and assigned to the current frame. Thus, the current frame can be presented together with the assigned overlay data chosen from the most similar past frame and without the need to wait for the result of a computationally expensive and time-consuming image processing of the current frame.

Abstract: The present disclosure relates to a method for configuring a medical device. The method comprises: providing a set of one or more parameters for configuring the medical device. Each parameter of the set has predefined values. A set of values of the set of parameters may be selected from the predefined values. Using the selected values the set of parameters may be set, which results in an operational configuration of the medical device. The medical device may be controlled to operate in accordance with the operational configuration, thereby an operating status of the medical device may be determined. Based on at least the operating status the operational configuration may be maintained or the selecting, setting and controlling may be repeatedly performed until a desired operating status of the medical device can be determined based on the operating statuses resulting from the controlling.

Abstract: An apparatus (10) for recommending medical tests for a patient includes at least one electronic processor (20) programmed to retrieve patient data stored in a database (32); compare the patient data with guidelines (34) for a plurality of medical tests and identify at least one recommended medical test of the plurality of medical tests based on the comparison; and output, on at least one display device (24), a recommendation (40) for the patient to undergo the at least one recommended medical test.

Abstract: An apparatus (10) for generating a training set of anonymized images (40) for training an artificial intelligence (AI) component (42) from images (11) of a plurality of persons.

Abstract: Disclosed herein is a medical instrument (100, 300, 400, 500) comprising: a memory (110) storing machine executable instructions (120) and a tomographic data assessment module (122) and a processor (106) configured for controlling the medical instrument. Execution of the machine executable instructions causes the processor to receive (200) measured tomographic data (124). The measured tomographic data is configured for being reconstructed into a tomographic image (308) of a subject (418). Execution of the machine executable instructions further causes the processor to receive (202) an image quality indicator (126, 126?, 126?) by inputting the measured tomographic data into the tomographic data assessment module. The tomographic data assessment module is configured for generating the image quality indicator in response to inputting the measured tomographic data.

Abstract: A medical imaging system for acquiring medical image data from an imaging zone. The medical imaging system includes a memory for storing machine executable instructions and medical imaging system commands. The medical imaging system further includes a user interface and a processor. Execution of the machine executable instructions causes the processor to: receive scan parameter data for modifying the behavior of the medical imaging system commands; receive metadata descriptive of imaging conditions from the user interface; store configuration data descriptive of a current configuration of the medical imaging system in the memory; calculate an error probability by comparing the metadata, the configuration data, and the scan parameter data using a predefined model, wherein the error probability is descriptive of a deviation between the metadata and between the configuration data and/or the scan parameter data; perform predefined action if the error probability is above a predetermined threshold.

Abstract: When acquiring detailed utilization information from imaging equipment in a cross-vendor approach, one or more sensors (16, 18, 22, 24) are positioned within a data security zone (14) in which an imaging procedure is performed. Sensor data is pre-processed on an isolated processing unit (20) to remove any sensitive information and keep a selection of features only. The resultant feature pattern is transmitted outside of the data security zone to a processing unit (28) where pattern recognition is performed on feature pattern to identify the type of imaging modality, scan, etc. being performed as well as to determine whether the scan is being performed according to schedule.

Abstract: Some embodiments are directed to a container builder (110) for building a container image for providing an individualized network service based on sensitive data (122) in a database (121). The container builder (110) retrieves the sensitive data (122) from the database (121), builds the container image (140), and provides it for deployment to a cloud service provider (111). The container image (140) comprises the sensitive data (122) and instructions that, when deployed as a container, cause the container to provide the individualized network service based on the sensitive data (122) comprised in the container image (140).

Abstract: To obtain feedback on image quality from qualified reviewers, an optically machine readable code (124) (e.g., a QR code or the like) is generated for each acquired medical image and embedded into the image. The embedded code includes information to the identity of the image, the imaging device, authorized reviewers, and authorized recipients of the feedback, as well as a link to a feedback form that can be retrieved by a communication device (38) used by an authorized user. When the embedded code is scanned by the communication device, the code is decoded and the feedback form is retrieved from a server, completed by the reviewer, and transmitted back to the authorized recipients of the feedback.

Abstract: A device (10) for editing an electronic medical record (EMR) is provided. The device includes a mobile device (12) including a touch-sensitive display (14), a communication link (16), and at least one electronic processor (18) programmed to cause the mobile device to perform an EMR data entry method. The method includes: displaying a medical document (20) on the touch-sensitive display: overlaying an EMR data entry fillable form (22) having user-editable fields (24) on the touch-sensitive display as a partially transparent overlay (26) superimposed on the displayed medical document; transferring text content (28) from the medical document into at least one of the user-editable fields of the overlaid EMR data entry fillable form; and after filling out the overlaid EMR data entry fillable form by operations including at least the transferring, uploading at least the content of the user-editable fields of the filled out EMR data entry fillable form to an EMR (32) via the wireless communication link.