Abstract: A medical device (10) includes a medical component (12); at least one environmental sensor (14, 14E); an electronic processor (20); and a non-transitory computer readable medium (26). The non-transitory computer readable medium (26) stores: device operational instructions executable by the electronic processor (20) to control the medical component to perform a medical function respective to a medical subject; an operating specification (30) for the medical device; and device monitoring instructions executable by the electronic processor (20) to: receive a measurement of at least one environmental parameter from the at least one environmental sensor; and output an alert (32) about the performance of the medical function respective to the medical subject if the measurement of the at least one environmental parameter is outside of the operating specification for the medical device.

Abstract: In a monitoring method for generating maintenance alerts, component IDs are extracted which identify medical imaging device components in electronic medical imaging device manuals (25, 26, 27, 28). Operating parameters of the medical imaging device components and associated operating parameter ranges are also extracted from the manuals, based on numeric values, parameter terms identifying operating parameters, and linking terms or symbols indicative of equality or inequality that connect the numeric values and parameter terms. The operating parameter ranges are formulated into decision rules (36) which are applied to log data (40) generated by a monitored medical imaging device (2) to detect out-of-range log data generated by the monitored medical imaging device. Maintenance alerts (24) are displayed on a display (18) in response to the detected out-of-range log data. The maintenance alerts are generated from out-of-range log data and are associated with component IDs contained in the out-of-range log data.

Abstract: The present invention relates to a system (100) for sensor signals dependent dialog generation during a medical imaging process, the system (100) comprising a sensor module (10), configured to measure condition data of a patient; a processor module (20), configured to analyze the condition data of the patient to determine biometric and physical condition data of the patient; a dialog data generation module (30), configured to generate questionnaires data for obtaining real-time feedback from the patient during the medical imaging process, wherein the questionnaires data is based on a parameter of the medical imaging process and on the determined biometric and physical condition data of the patient.

Abstract: A method (100) of determining a layout for one or more medical devices (12) in a medical facility includes: obtaining images (30) of a plurality of locations of the medical facility; mapping the obtained images to an architectural layout of the medical facility; generating a three-dimensional (3D) model of the medical facility based on the mapping; determining a recommended location for the one or more medical devices using the 3D model; determining a recommended placement of the one or more medical devices in the recommended location based on the recommended location; and outputting an image (40) showing the determined recommended placement of the medical devices in the recommended location.

Abstract: A non-transitory computer readable medium (107, 127) stores instructions executable by at least one electronic processor (101, 113) to perform a component co-replacement recommendation method (200).

Abstract: A non-transitory computer readable medium stores instructions readable and executable by at least one electronic processor to retrieve, based on a query received for a current service case, data related to a current medical imaging device for which the current service case to be performed; retrieve at least one service case resolution workflow comprising tasks for the current service case; identify (i) a first subset of the tasks of the at least one service case resolution workflow to be performed by a customer of the current medical imaging device, and (ii) a second subset of the tasks of the at least one service case resolution workflow to be performed by a service engineer; provide, on a display device of an electronic processing device, a user interface (UI) showing (i) the identified first subset of tasks and (ii) the identified second subset of tasks.

Abstract: An apparatus (100) for scheduling field service for a fleet of medical imaging devices includes at least one electronic processor (101, 113) programmed to maintain a service records database (140) storing information on instances of service tasks performed on the fleet including identifiers of service completion times for the instances of service tasks; identify one or more service tasks to be performed on a medical imaging device of the fleet based on content of one or more machine and/or service logs of the medical imaging device to be serviced; optimize a service plan (130) for the upcoming field service based at least on the one or more service tasks to be performed during the upcoming field service and service completion times for instances of the one or more service tasks to be performed in the service records database; and display the service plan on a display device (105).

Abstract: A non-transitory computer readable medium (107, 127) stores instructions executable by at least one electronic processor (101, 113) to perform a component co-replacement recommendation method (200).

Abstract: A device for optimizing an image acquisition device (12) includes at least one electronic processor (20) operatively connected to read a machine log (30) of the image acquisition device. A non-transitory computer readable medium (26) stores instructions readable and executable by the at least one electronic processor to perform an image acquisition method (100). The method includes: extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; and controlling the tuned image acquisition device to acquire one or more images of a patient.

Abstract: In a monitoring method for generating maintenance alerts, component IDs are extracted which identify medical imaging device components in electronic medical imaging device manuals (25, 26, 27, 28). Operating parameters of the medical imaging device components and associated operating parameter ranges are also extracted from the manuals, based on numeric values, parameter terms identifying operating parameters, and linking terms or symbols indicative of equality or inequality that connect the numeric values and parameter terms. The operating parameter ranges are formulated into decision rules (36) which are applied to log data (40) generated by a monitored medical imaging device (2) to detect out-of-range log data generated by the monitored medical imaging device. Maintenance alerts (24) are displayed on a display (18) in response to the detected out-of-range log data. The maintenance alerts are generated from out-of-range log data and are associated with component IDs contained in the out-of-range log data.

Abstract: A method (200) of converting a flowchart (110) to a structured electronic representation (116) of the flowchart includes: identifying, in an image (108) of the flowchart, a plurality of shapes (112) corresponding to flowchart blocks of the flowchart; identifying arrows (114) defining flow paths between the flowchart blocks in the image including identifying flowchart blocks connected by the arrows and their directionality; identifying text labels and their locations in the image and determining text content of the text labels; associating the text labels with flowchart blocks or defined flow paths based on locations of the text labels, flowchart blocks, and arrows; and generating the structured electronic representation of the flowchart based on the flowchart blocks, the flow paths, and the text labels. A structure of the structured electronic representation is determined at least based at least on the flow paths between the flowchart blocks of the image.

Abstract: The invention provides a system (100) for acquiring cervical images which comprises an image acquisition subsystem (120) for acquiring cervical images (122) of a cervical region of a patient during a colposcopy procedure, and a display subsystem (160) for displaying the cervical images on a display (060) by providing image data (162) of the cervical images to the display. According to the invention, the image acquisition subsystem (120) is arranged for, when operating in an interval mode, acquiring the cervical images (122) at predetermined time intervals to obtain a time-series of cervical images showing changes in the cervical region over time, and reporting a progress of said acquiring to the display subsystem. Moreover, the display subsystem (160) is arranged for establishing a progress indicator (400-416) on the display by generating indicator data (164) and providing the indicator data to the display (060), the progress indicator providing visual feedback on the progress of said acquiring to a user.

Abstract: A method or system detects abnormalities in a biological sample cells. The method or system performs at least the following steps, or is capable to carry out at least the following steps, respectively: a) acquiring an image of the sample by digital image acquisition, b) optionally, carrying out digital image processing, c) selecting a field of view, d) determining, by digital image processing, whether or not, in the field of view, cell aggregates exist, and e1) selecting a new field of view and carrying on with step c) if, in step d), it turns out that, in the field of view, the determination of cell aggregates is negative, or e2) carrying out further process steps if in step d), it turns out that, in the field of view, the determination of cell aggregates is affirmative.

Abstract: The invention provides a system (100) for acquiring cervical images which comprises an image acquisition subsystem (120) for acquiring cervical images (122) of a cervical region of a patient during a colposcopy procedure, and a display subsystem (160) for displaying the cervical images on a display (060) by providing image data (162) of the cervical images to the display. According to the invention, the image acquisition subsystem (120) is arranged for, when operating in an interval mode, acquiring the cervical images (122) at predetermined time intervals to obtain a time-series of cervical images showing changes in the cervical region over time, and reporting a progress of said acquiring to the display subsystem. Moreover, the display subsystem (160) is arranged for establishing a progress indicator (400-416) on the display by generating indicator data (164) and providing the indicator data to the display (060), the progress indicator providing visual feedback on the progress of said acquiring to a user.

Abstract: The present invention is related to a method or system for the detection of abnormalities in a biological sample comprising cells. Said method or system comprises at least the following steps, or is capable to carry out, and/or comprises means capable to carry out, at least the following steps, respectively: a) acquiring an image of said sample by digital image acquisition, b) optionally, carrying out digital image processing, c) selecting a field of view, d) determining, by digital image processing, whether or not, in said field of view, cell aggregates exist, and e1) selecting a new field of view and carrying on with step c) if, in step d), it turns out that, in said field of view, the determination of cell aggregates is negative, or e2) carrying out further process steps if in step d), it turns out that, in said field of view, the determination of cell aggregates is affirmative.