Abstract: A method (100) of providing remote monitoring of a local operator (LO) of a medical imaging device (2) during a medical imaging examination, the method including: mapping image features to medical imaging examinations based at least on timestamps of the image features, the medical imaging examinations to which the image features are mapped including completed medical imaging examinations and a current medical imaging examination; converting the image features mapped to each completed medical imaging examination into a representation (43) of the completed medical imaging examination and a representation (47) of a current status of the current medical imaging examination; generating at least one completion time statistic (45) representing the completion times for the completed medical imaging examinations; and during the current medical imaging examination, displaying the representation of the current status of the current medical imaging examination and the at least one completion time statistic on the worksta

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, 32) to a method (100) of monitoring performance of medical professionals. The method includes tracking a quantification of examinations performed by one or more medical professionals; tracking credentials under which the examinations are performed; and outputting, on at least one display device, a representation of usage of one or more credentials by one or more medical professionals of the plurality of medical professionals based on the tracked quantities of examinations and the tracked credentials under which the examinations are performed.

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 method of performing ordered statistics between at least two parties is disclosed which includes identifying a first dataset (xA) by a first node (A), identifying a second dataset (xB) by a second node (B), wherein xB is unknown to A and xA is unknown to B, and wherein A is in communication with B, and wherein A and B are in communication with a server (S), A and B each additively splitting each member of their respective datasets into corresponding shares, sharing the corresponding shares with one another, arranging the corresponding shares according to a mutually agreed predetermined order into corresponding ordered shares, shuffling the ordered shares into shuffled shares, re-splitting the shuffled shares into re-split shuffled shares, and performing an ordered statistical operation on the re-split shuffled shares, wherein the steps of shuffle and re-split is based on additions, subtractions but not multiplication and division.

Abstract: To assist during a medical imaging examination performed using a medical imaging device, video and/or audio feeds are acquired of the imaging examination. A workflow of the imaging examination is tracked based at least on the acquired video and/or audio. An event is detected related to the workflow of the imaging examination at least based on analysis of the video and/or audio using an artificial intelligence (AI) component. A modification of the workflow of the imaging examination is determined based on the detected event. The modification is automatically executed.

Abstract: A method of performing ordered statistics between at least two parties is disclosed which includes identifying a first dataset (xA) by a first node (A), identifying a second dataset (xB) by a second node (B), wherein xB is unknown to A and xA is unknown to B, and wherein A is in communication with B, and wherein A and B are in communication with a server (S), A and B each additively splitting each member of their respective datasets into corresponding shares, sharing the corresponding shares with one another, arranging the corresponding shares according to a mutually agreed predetermined order into corresponding ordered shares, shuffling the ordered shares into shuffled shares, re-splitting the shuffled shares into re-split shuffled shares, and performing an ordered statistical operation on the re-split shuffled shares, wherein the steps of shuffle and re-split is based on additions, subtractions but not multiplication and division.

Abstract: A method of performing ordered statistics between at least two parties is disclosed which includes identifying a first dataset (xA) by a first node (A), identifying a second dataset (xB) by a second node (B), wherein xB is unknown to A and xA is unknown to B, and wherein A is in communication with B, and wherein A and B are in communication with a server (S), A and B each additively splitting each member of their respective datasets into corresponding shares, sharing the corresponding shares with one another, arranging the corresponding shares according to a mutually agreed predetermined order into corresponding ordered shares, shuffling the ordered shares into shuffled shares, re-splitting the shuffled shares into re-split shuffled shares, and performing an ordered statistical operation on the re-split shuffled shares, wherein the steps of shuffle and re-split is based on additions, subtractions but not multiplication and division.

Abstract: A non-transitory computer-readable medium encoded with a computer-readable program, which, when executed by a processor, will cause a computer to execute a method of intelligent matching, wherein the method includes receiving a first data from a plurality of service vendors, wherein the first data includes performance metrics of service providers and characteristics of service consumers. The method additionally includes classifying, using cluster algorithms, the service consumers from the first data into a plurality of groups. Further, the method includes calculating a compatibility success score between each service provider and each group of the plurality of groups. Moreover, the method includes calculating a historical arrival rate for the each group of the plurality of groups. The method also includes assigning a chosen service provider to a prospective service consumer based on a determined compatibility success score of the chosen service provider.

Abstract: A method of performing ordered statistics between at least two parties is disclosed which includes identifying a first dataset (xA) by a first node (A), identifying a second dataset (xB) by a second node (B), wherein xB is unknown to A and xA is unknown to B, and wherein A is in communication with B, and wherein A and B are in communication with a server (S), A and B each additively splitting each member of their respective datasets into corresponding shares, sharing the corresponding shares with one another, arranging the corresponding shares according to a mutually agreed predetermined order into corresponding ordered shares, shuffling the ordered shares into shuffled shares, re-splitting the shuffled shares into re-split shuffled shares, and performing an ordered statistical operation on the re-split shuffled shares, wherein the steps of shuffle and re-split is based on additions, subtractions but not multiplication and division.