Abstract: Methods for processing a radio resource management (RRM) measurement and a network side device are provided. The method includes: acquiring a first RRM measurement criterion corresponding to a first relay sidelink terminal, the first relay sidelink terminal being a relay sidelink terminal serving the non-relay sidelink terminal; and in response to measuring that channel quality associated with the first relay sidelink terminal meets the first RRM measurement criterion, performing a first RRM measurement processing on a second relay sidelink terminal, other than the first relay sidelink terminal, in relay sidelink terminals, the second relay sidelink terminal having a serving range covering the non-relay sidelink terminal.

Abstract: An ultrasound imaging system may analyze motion of landmarks in a temporal sequence of image frames to determine mobility of one or more landmarks. In some examples, the sequence of image frames may be analyzed by one or more artificial intelligence models to detect landmarks and generate flow fields for the detected landmarks. The flow fields may be analyzed to determine the isotropy of the movement of the landmarks. The isotropy analysis may be used to generate a quantitative mobility index.

Abstract: An ultrasound imaging system may determine whether a proper cardiac view has been acquired. When a proper cardiac view has been acquired, the ultrasound imaging system may adjust the imaging parameters to visualize epicardial adipose tissue (EAT). Once an image with the adjusted imaging parameters is acquired, the ultrasound imaging system may segment the EAT from the image. Measurements of the EAT may be acquired from the segmented image. In some examples, a report on whether a patient requires follow-up may be generated based on the EAT measurements and patient information.

Abstract: A communication system between an imaging bay containing a medical imaging device and a control room containing a controller for controlling the medical imaging device includes an intercom with a bay audio speaker and bay microphone in the imaging bay, and a communication path via which bay audio from the bay microphone is transmitted to the control room and via which instructions are transmitted from the control room to the bay audio speaker. An electronic processing device operatively connected with the communication path is programmed to at least one of (i) generate the instructions; (ii) modify the bay audio and output the modified bay audio in the control room; and/or (iii) analyze the bay audio to determine actionable information, determine a modification of or addition to a medical workflow based on the actionable information, and automatically implement the modification of or addition to the medical workflow.

Abstract: A non-transitory computer readable medium (26, 30) stores instructions executable by at least one electronic processor (20, 34) to perform a method (100) of distributing medical examinations to medical professionals. The method includes tracking examinations performed or reviewed by a plurality of medical professionals; calculating one or more metrics (38, 40) for each medical professional of the plurality of medical professionals based on the tracked examinations, the one or more metrics including a diversity metric indicative of a diversity of different types of examinations performed or reviewed by the medical professional; and allocating upcoming examinations among the medical professionals of the plurality of medical professionals based at least in part on the one or more metrics calculated for the medical professionals of the plurality of medical professionals.

Abstract: A system (102) includes a digital information repository (106) configured to store information about performances of individuals, including performances of an individual of interest. The system further includes a computing apparatus (103). The computing apparatus includes a memory (110) configured to store instructions for a performance benchmarking engine trained to learn factors of the performances that impact key performance indicators independent of the individuals’ performance. The computing apparatus further includes a processor (108) configured execute the stored instructions for the performance benchmarking engine to determine a key performance indicator of interest for the individual of interest based at least in part on the information in the digital information repository about the performances of the individual of interest and the learned factors that impact the key performance indicator of interest.

Abstract: A patient monitor (8) includes a display (10). Patient values (38) are obtained for one or more known variables of a risk prediction function (30). One or more unknown variables of the risk prediction function are determined, and at least one hyperplane (40) is defined as values assumable by the one or more unknown variables. Values of the risk prediction function are computed over the at least one hyperplane using the obtained patient values. A visualization template is selected from a database of visualization templates (50) using template selection indices including the risk prediction function and the one or more unknown variables. Using the visualization template, a visualization (52) of the computed values of the risk prediction function over the at least one hyperplane is displayed.

Abstract: Techniques disclosed herein relate to generating and applying subject event timelines for various purposes. In various embodiments, data indicative of medical events associated with a subject may be retrieved from various data sources. Each of the medical events may be associated with a respective timestamp. Based on the medical events and associated timestamps, a timeline data structure associated with the subject may be assembled. The timeline data structure may be analyzed to identify inconsistenc(ies) between medical events associated with the subject. A visual timeline indicative of the medical events may be rendered on a display based on the timeline data structure. Each respective medical event may be represented in the visual timeline by a graphical element. Two or more of the graphical elements that are associated with the medical events for which the inconsistenc(ies) were identified may be visually distinguished.

Abstract: A method for allocating resources comprising: (i) receiving information about a plurality of patients being monitored by a plurality of healthcare professionals; (ii) receiving information about a monitoring load for each of the plurality of healthcare professionals; (iii) classifying, by a trained monitoring liability classifier, each of the plurality of patients into one of a plurality of monitoring liability classes; (iv) determining a distribution of the plurality of patients for monitoring among the plurality of healthcare professionals based on both the received monitoring load for each of the plurality of healthcare professionals and the monitoring liability class for each of the plurality of patients, wherein the distribution optimizes the monitoring load for each of the plurality of healthcare professionals; and (v) redistributing the plurality of patients for monitoring among the plurality of healthcare professionals according to the determined distribution.

Abstract: A system and method creates guideline-based summaries for imaging exams. The method includes extracting clinical concepts from a patient medical record to create a patient profile. The method includes identifying an appropriate use criteria based on a current clinical workflow. The method includes generating an appropriate use criteria summary including key elements from the patient profile which are used to determine a recommendation based on the appropriate use criteria. The method includes determining whether a user selected action is in violation of the recommendation.

Abstract: A patient monitor (8) includes a display (10). Patient values (38) are obtained for one or more known variables of a risk prediction function (30). One or more unknown variables of the risk prediction function are determined, and at least one hyperplane (40) is defined as values assumable by the one or more unknown variables. Values of the risk prediction function are computed over the at least one hyperplane using the obtained patient values. A visualization template is selected from a database of visualization templates (50) using template selection indices including the risk prediction function and the one or more unknown variables. Using the visualization template, a visualization (52) of the computed values of the risk prediction function over the at least one hyperplane is displayed.

Abstract: Techniques disclosed herein relate to generating and applying subject event timelines for various purposes. In various embodiments, data indicative of medical events associated with a subject may be retrieved from various data sources. Each of the medical events may be associated with a respective timestamp. Based on the medical events and associated timestamps, a timeline data structure associated with the subject may be assembled. The timeline data structure may be analyzed to identify inconsistenc(ies) between medical events associated with the subject. A visual timeline indicative of the medical events may be rendered on a display based on the timeline data structure. Each respective medical event may be represented in the visual timeline by a graphical element. Two or more of the graphical elements that are associated with the medical events for which the inconsistenc(ies) were identified may be visually distinguished.