Abstract: An apparatus for use with a medical imaging device (2) operative in conjunction with a contrast injector (11) to perform a contrast enhanced medical imaging procedure. The apparatus includes: an alert output device (32), and at least one electronic processor (10, 20) operatively connected with the alert output device and programmed to: extract image frames from video or screen sharing (17) of a display (13, 24?); screen-scrape injector settings of the contrast injector from the image frames; and output an alert (30) via the alert output device if the screen-scraped injector settings satisfy an alert criterion.

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform an operator assistance method (100) including: obtaining data related to reference imaging examinations during performance of the medical imaging examinations; generating training materials (32) from the obtained data; the training materials being related to the performance of the reference medical imaging examinations; and providing training user interface (UI) (44) on a display device (36), the training UI displaying a visualization (36) of a selected portion of the training materials which is selected based on information about a current or upcoming medical imaging examination.

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) to coordinate radiologist review of a medical imaging procedure performed using a medical imaging device (2). The method includes acquiring a video (17) of the medical imaging device, the acquired video including at least one of video acquired by a camera (16) arranged to image the medical imaging device and/or video comprising screen-scraped image frames of an imaging device controller (10) of the medical imaging device: determining a review time for the medical imaging procedure based on the video: providing a notification to a remote electronic processing device (12) operable by a radiologist of the determined review time; and at the review time, extracting at least one review image (38) from the video and making the at least one review image available at the remote electronic processing device.

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) of assisting a local operator (LO) during a medical procedure performed using a medical device (2). The method includes acquiring a video (17) of at least one component of the medical device, wherein the video comprises a time sequence of image frames; as the video is acquired, transmitting the acquired video to a remote electronic processing device (12) operable by a remote expert (RE); as the video is acquired, determining a state of the medical procedure as a function of time from the acquired video; and as the video is acquired, adjusting a data stream transmission setting of the transmitting as a function of time based on the determined state of the medical procedure as a function of time.

Abstract: A method (100) of analyzing a medical report (34) presenting clinical content determined from one or more images (38) includes: extracting a text embedding (54) from the medical report: extracting an image embedding (52) from the one or more images; determining one or more content feature vectors from the text embedding and the image embedding; determining one or more style feature vectors from the text embedding; and at least one of: extracting one or more clinical findings contained in the medical report using the one or more content feature vectors; scoring the style of the medical report using the one or more style feature vectors; and/or converting the medical report to a target style using the one or more content feature vectors and one or more target style feature vectors different from the determined one or more style feature vectors.

Abstract: A system (100) includes a processor (182) configured to generate (300) an unauthorized imaging order (122) for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive (320) an authorized imaging order (110) for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge (360) that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.

Abstract: A system (100) includes a processor (182) configured to generate (300) an unauthorized imaging order (122) for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive (320) an authorized imaging order (110) for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge (360) that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.

Abstract: A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) of preparing for an upcoming medical imaging examination. The method includes receiving information about the upcoming medical imaging examination; receiving patient data from a patient monitoring device (40) associated with a patient who is to undergo the upcoming medical imaging examination; analyzing the received patient data based on information about the upcoming medical imaging examination; determine one or more indicators of a potential issue with the upcoming medical imaging examination based on the comparison of the received patient data with the information about the upcoming medical imaging examination; and outputting a warning (46) indicative of the determined one or more indicators of the issue with the medical imaging examination.

Abstract: A remote assistance method (100) includes: applying a likelihood estimation model (42) to determine likelihoods of needing remote expert assistance for scheduled medical imaging examinations based on information on the scheduled medical imaging examinations; applying a load-balancing optimization model (44) to assign remote experts to the scheduled medical imaging examinations of the examination schedule based on the determined likelihoods of needing remote expert assistance and information on the remote experts; providing a remote assistance interface (28, 28?) via which a local operator (LO) performing a scheduled medical imaging examination can receive remote assistance from a remote expert (RE); and initiating a remote assistance session via the remote assistance interface for the scheduled medical imaging examination being performed, wherein the initiating includes automatically connecting the local operator with the remote expert assigned to the scheduled medical imaging examination being performed.

Abstract: A method (100) of assessing performance of a local medical imaging device operator (LO) during imaging examinations performed using one or more medical imaging devices (2) includes: obtaining data related to the imaging examinations during performance of the medical imaging examinations; analyzing the obtained data to determine one or more performance metrics of the local operator; and during a current imaging examination, providing a remote assistance user interface (UI) (28) to at least one display device (24) operable by a remote expert (RE), the UI providing two-way communication between the local medical imaging device operator and the remote expert via which the remote expert can provide assistance to the local medical imaging device operator, the UI further displaying a visualization (34) of the determined one or more performance metrics of the local operator.

Abstract: An apparatus provides remote assistance to a local operator of a medical imaging device disposed in a medical imaging device bay via a communication link from a remote location that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation disposed at the remote location including at least one workstation display.

Abstract: A system and method for training a deep learning network with images of a first modality and images of a second modality to predict a diagnosis for a current image study of one of the first and second modalities. The training includes collecting training data including a plurality of datasets, each dataset including an image study of the first modality and an image study of the second modality for a single patient and clinical reason, training a first branch of the deep learning network with images of the first modality and training a second branch of the deep learning network with images of the second modality.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of providing assistance from a remote expert (RE) to a local operator (LO) of a medical imaging device (2) during a medical imaging examination. The method includes: extracting image features from image frames displayed on a display device (24?) of a controller (10) of the medical imaging device operable by the local operator during the medical imaging examination; converting the extracted image features into a representation (43) of a current status of the medical imaging examination; and providing a user interface (UI) (28) displaying the representation on a workstation (12) operable by the remote expert.

Abstract: An apparatus (10) provides remote assistance to a local operator of a medical imaging device (2) disposed in a medical imaging device bay (3) via a communication link (14) from a remote location (4) that is remote from the medical imaging device bay to the medical imaging device bay. The apparatus includes a workstation (12) disposed at the remote location including at least one workstation display (24).

Abstract: A method (100) of connecting a local medical imaging device operator (LO) with a remote medical imaging expert (RE) during an imaging examination performed using a medical imaging device (2) includes: determining characteristics for available remote medical imaging experts who are available to assist the local operator; matching one or more of the available remote medical imaging experts based on the determined characteristics for the remote medical imaging experts with characteristics of the imaging examination; and providing a user interface (UI) (28, 28?) to at least one display device (24, 24?) operable by the local operator and the remote medical imaging expert, the UI displaying a list (44) of the matched available remote medical imaging experts and via which the local medical imaging device operator can select a matched available medical imaging expert from the displayed list.

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 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 system (100) includes an end point prediction engine (150) that predicts an end point (302) using a machine learning model (132) and one or more clinical report objects (152) for a patient, wherein the machine learning model inputs the one or more clinical report objects and outputs the predicted end point according to phrases or n-grams in the one or more clinical report objects. An end point visualization interface (160) visualizes the predicted end point (302) using a scorecard (162) or a timeline (164). An end point modeling engine (130) generates the machine learning model from training data that includes validated end points (122) and clinical report objects (116).

Abstract: An apparatus (10) for assessing radiologist performance includes at least one electronic processor (20) programmed to: during reading sessions in which a user is logged into a user interface (UI) (27), present (98) medical imaging examinations (31) via the UI, receive examination reports on the presented medical imaging examinations via the UI, and file the examination reports; and perform a tracking method (102, 202) including at least one of: (i) computing (204) concurrence scores (34) quantifying concurrence between clinical findings contained in the examination reports and corresponding computer-generated clinical findings for the presented medical imaging examinations which are generated by a computer aided diagnostic (CAD) process miming as a background process during the reading sessions; and/or (ii) determining (208) reading times (38) for the presented medical imaging examinations wherein the reading time for each presented medical imaging examination is the time interval between a start of the prese