Abstract: In order to improve workflow efficiency and/or patient experience during a scan procedure, a system is proposed to provide—prior to arrival at the hospital—an indication of the suitability of a patient to be assigned to a specific level of autonomy in a medical scanning procedure. The system comprises a scan simulation module, a patient monitoring module, and a patient profile generation module. The scan simulation module comprises one or more sensory stimulation devices configured to apply at least one sensory stimulus over a patient to simulate a scan environment that may be experienced by a patient during a scan procedure. The patient monitoring module comprises one or more sensors configured to acquire data of the patient in the simulated scan environment. The patient profile generation module is configured to determine a state of anxiety of the patient based on the acquired data and to create a patient profile comprising the determined state of anxiety of the patient in the simulated scan environment.

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: According to an aspect, there is provided a computer implemented method in a central sewer of selecting a training dataset with which to train a model using a distributed machine learning process, wherein the training dataset is to comprise medical data that satisfies one or more clinical requirements and wherein training data in the training dataset is located at a plurality of clinical sites. The method comprises requesting (302) from each of the clinical sites, metadata describing features of matching data at the respective clinical site that satisfies the one or more clinical requirements. The method then comprises determining (304), from the metadata, a measure of variation of the features of the matching data. Based on the measure of variation, the method then comprises selecting (306) training data for the training dataset from the matching data using the metadata.

Abstract: The present invention relates to wake-up management. An apparatus is provided for assessing a wake-up procedure of a sedated patient in an imaging process. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive patient profile data and sedation data comprising information about a sedation state of the sedated patient. The processing unit is configured to apply a data-driven model to the patient profile data and sedation data of the sedated patient to estimate at least one timing in the wake-up procedure of the sedated patient. The data-driven model has been trained on a training dataset obtained from historical data of one or more patients. The training dataset comprises patient profile data and sedation data of the one or more patients as training inputs and at least one timing in the wake-up procedure of the one or more patients as training outputs. The output unit is configured to provide the at least one estimated timing.

Abstract: The present invention relates to a magnetic resonance imaging system (10), comprising at least one gradient coil (20), and a processing unit (30). The processing unit is configured to control a gradient coil to produce intentional noise for sedation monitoring of a patient.

Abstract: According to an aspect there is provided a computer-implemented method of monitoring performance of a predictive computer-implemented model, PCIM, that is used to monitor the status of a first system. The PCIM receives as inputs observed values for a plurality of features relating to the first system, and the PCIM determines whether to issue status alerts based on the observed values.

Abstract: Presented are concepts for detecting subject motion in medical imaging of a subject. One such concept obtains a motion classification model representing relationships between motion of image features and subject motion values. For each of a plurality of medical slice images of an imaged volume of the subject, an image feature of the medical slice image is extracted. Based on the extracted image feature for each of the plurality of medical slice images, motion information for the image feature is determined. Based on the motion information for the image feature and the obtained motion classification model, a subject motion value is determined.

Abstract: The invention discloses an apparatus for stroke characterization. The apparatus comprises a processor. The processor is configured to receive image data representing a three-dimensional image of a head of a subject; identify a region within the image data corresponding to bone in the head of the subject; apply an adjustment to the image data to compensate for effects resulting from radiation scattered from the bone during acquisition of the image data; generate a two-dimensional image based on the adjusted image data; and provide the generated two-dimensional image as an input to a predictive model to identify a region of interest for stroke characterization in the two-dimensional image.

Abstract: A method for aligning spatially different subvolumes of ultrasonic data of a blood vessel comprising: acquiring temporally discrete signals of a blood vessel with elements of a two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a first position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a first three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; acquiring temporally discrete signals of the blood vessel with elements of the two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a second position with respect t

Abstract: There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).

Abstract: Presented are concepts for detecting subject motion in medical imaging of a subject. One such concept obtains a motion classification model representing relationships between motion of image features and subject motion values. For each of a plurality of medical slice images of an imaged volume of the subject, an image feature of the medical slice image is extracted. Based on the extracted image feature for each of the plurality of medical slice images, motion information for the image feature is determined. Based on the motion information for the image feature and the obtained motion classification model, a subject motion value is determined.

Abstract: A non-imaging diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe (10) with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Abstract: A phototherapy monitoring device (10) includes a housing (12) configured for attachment to a patient, and a user interfacing device. An optical bilimbin sensor (14) includes one or more light sources (16) operative to generate probe light and arranged on or in the housing such that the probe light is reflected from or transmitted through skin of the patient when the housing is attached to the patient; and one or more photodetectors (18) arranged on or in the housing to detect the probe light reflected from or transmitted through the skin of the patient. At least one electronic processor (28) is disposed on or in the housing and programmed to: continuously generate a current bilimbin level measurement from the detected probe light reflected from or transmitted through the skin of the patient; and control the user interfacing device to generate a notification when the current bilirubin level measurement satisfies a safe bilimbin level.

Abstract: There is provided a method and apparatus for calibrating measurements made using a medical monitoring device. A conversion factor may be obtained including a first cross correlation that describes the correlation between measurements made using a first medical monitoring device and measurements made using a second medical monitoring device. The first conversion factor may then be used to convert measurements from the first medical monitoring device onto the same scale as measurements from the second medical monitoring device.

Abstract: The invention provides for a medical imaging system (100, 300, 400, 700) comprising: a memory (110) for storing machine executable instructions (120) and a processor (106) for controlling the medical imaging system.

Abstract: A diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Abstract: The present invention relates to systems for planning use of resources under consideration of time constraints. The present invention further relates to methods for scheduling use of resources under consideration of time constraints.

Abstract: Disclosed herein is a method and system for evaluating compliance of standard clinical guidelines in medical treatments of one or more patients. Electronic Health Records (EHRs) of the patients are received and aggregated to obtain patient-specific EHRs. Subsequently, the patients are clustered into groups based on disease conditions and socio-demographic characteristics of patients. Further, deviations in the medical treatments provided to the patients are detected by comparing the medical treatments with standard clinical guidelines, for evaluating compliance of the standard clinical guidelines with the medical treatments. In an embodiment, the method of present disclosure helps in detecting care gaps among the medical treatments provided to the patients, and thereby helps in providing improvised and/or patient-specific medical assistance to the patients.

Abstract: The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal, identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject, and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.

Abstract: There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).