Abstract: The present invention relates to a non-fullerene acceptor compound containing benzoselenadiazole, and organic optoelectronic devices comprising the same.

Abstract: An electronic device includes a substrate, a plurality of electronic components and a conductive material. The electronic components are arranged on the substrate, and the electronic components respectively include a lower electrode, a semiconductor layer and an upper electrode, and they are sequentially stacked on the substrate. The electronic components share the semiconductor layer, and the semiconductor layer forms a plurality of connecting channels through the semiconductor layer. The connecting channels are located between the upper electrode of the first electronic component in the electronic components and the lower electrode of the second electronic component in the electronic components. These connecting channels are processed by lasers of different powers. The conductive material is arranged in the connecting channel so that the upper electrode of the first electronic component is electrically connected to the lower electrode of the second electronic component.

Abstract: A semiconductor mixed material comprises an electron donor, a first electron acceptor and a second electron acceptor. The first electron donor is a conjugated polymer. The energy gap of the first electron acceptor is less than 1.4 eV. At least one of the molecular stackability, ?-?*stackability, and crystallinity of the second electron acceptor is smaller than the first electron acceptor. The electron donor system is configured to be a matrix to blend the first electron acceptor and the second electron acceptor. The present invention also provides an organic electronic device including the semiconductor mixed material.

Abstract: An electronic device includes a substrate, a plurality of electronic components and a conductive material. The electronic components are arranged on the substrate, and the electronic components respectively include a lower electrode, a semiconductor layer and an upper electrode, and they are sequentially stacked on the substrate. The electronic components share the semiconductor layer, and the semiconductor layer forms a plurality of connecting channels through the semiconductor layer. The connecting channels are located between the upper electrode of the first electronic component in the electronic components and the lower electrode of the second electronic component in the electronic components. These connecting channels are processed by lasers of different powers. The conductive material is arranged in the connecting channel so that the upper electrode of the first electronic component is electrically connected to the lower electrode of the second electronic component.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.

Abstract: A robotic control system employs a robot unit (10) and a control unit (20). The robot unit (10) includes an endoscope (12) for generating an endoscope image (14), and a robot (11) for moving the endoscope (12) within an anatomical region. The control unit (20) includes an endoscope controller (22) for a determination of an endoscope pose within the anatomical region for an intraoperative visualization of the anatomical feature within the endoscope image (14), wherein the endoscope path is derived from a delineation of a volume coordinate position of the anatomical feature within a pre-operative image (43) of the anatomical region. The control unit (20) further includes a robot controller (21) for commanding the robot (11) to move the endoscope (12) to the endoscope pose within the anatomical region to visualize the anatomical feature within the endoscope image (14).

Abstract: The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by using a given matching criterion. Then statistics on image and/or non-image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need.

Abstract: A semiconductor mixed material comprises an electron donor, a first electron acceptor and a second electron acceptor. The first electron donor is a conjugated polymer. The energy gap of the first electron acceptor is less than 1.4 eV. At least one of the molecular stackability, ?-?* stackability, and crystallinity of the second electron acceptor is smaller than the first electron acceptor. The electron donor system is configured to be a matrix to blend the first electron acceptor and the second electron acceptor. The present invention also provides an organic electronic device including the semiconductor mixed material.

Abstract: A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur.

Abstract: The present invention relates to a non-fullerene acceptor compound containing benzoselenadiazole, and organic optoelectronic devices comprising the same.

Abstract: A system and method of providing computer-aided analysis of medical images uses an image processor (910) to process medical image data. A decision engine (920) generates a diagnosis based on the image data (940). The decision engine estimates the probability of an illness based on the image data and assesses the relevance of any unavailable data. The result is used to request this unavailable data from the user for computing a more complete diagnosis or otherwise displaying the results in incomplete form due to either the lack of additional data or the confidence in the incomplete diagnostic results. The diagnostic results may be displayed on an output terminal (970) and may be stored in the database (930).

Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.

Abstract: An automatic mixing machine includes a vessel, a shell, a motor, a mixing unit, a detection and feedback unit, a computing control unit and a drive unit. The shell is connected with the vessel to form a closed space. The motor is arranged in the shell. The first end of the mixing unit is connected with the motor, and the second end of the mixing unit extends into the closed space. The detection and feedback unit is electrically connected with the motor and collects at least one electric parameter of the motor. The computing control unit is electrically connected with the detection and feedback unit and generates a control signal according to the electric parameters and the mixing parameters. The drive unit is electrically connected with the computing control unit and the motor respectively, and outputs a drive signal to drive the motor according to the control signal.

Abstract: A training or rating system includes a shape sensing enabled device (104) and a database (140) of possible shapes and sequences of shapes for the shape sensing enabled device. The possible shapes and sequences of shapes include a collection of poses derived by appropriately performing a procedure with the shape sensing enabled device. A comparison module (154) is configured to compare real-time poses of the shape sensing enabled device with the collection of poses in the database to output comparison feedback for a user of the shape sensing enabled device.

Abstract: A method includes obtaining, in electronic format, an image (102) including a medical image display region (104) and an information display region (106). The at least one of the medical image display region or the information display region includes graphical indicia representing at least one of an annotation (110, 112, 114, 116) or alphanumeric information (118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140). The method further includes evaluating pixels of the image to identify pixels including the graphical indicia representing an annotation or alphanumeric information of interest in the image. The method further includes extracting the annotation or alphanumeric information of interest from the identified graphical indicia from the image. The method further includes inserting the extracted annotation or alphanumeric information of interest in an electronically formatted clinical report for the image.

Abstract: An automatic mixing machine including a vessel, a shell, a motor, a mixing unit, a detection and feedback unit, a computing control unit and a drive unit. The vessel is used for accommodating the raw materials. The shell is connected with the vessel to form a closed space. The motor is arranged in the shell. The first end of the mixing unit is connected with the motor, and the second end extends into the closed space. The detection and feedback unit is electrically connected with the motor and collects at least one electric parameter of the motor. The computing control unit is electrically connected with the detection and feedback unit and generates a control signal according to the electric parameters and the mixing parameters. The drive unit is electrically connected with the computing control unit and the motor respectively, and outputs a drive signal to drive the motor according to the control signal.

Abstract: A method includes identifying medical concepts in identified patient cases that are missing from medical concepts in first electronically formatted medical information as missing medical concepts, and selecting an imaging protocol for an imaging procedure based on a combination of the medical concepts from the first electronically formatted medical information and the missing medical concepts, and generating a signal indicative of the selected imaging protocol. A method includes identifying at least one of one or more medical concepts as a relevant additional concept, and selecting an imaging protocol for the imaging procedure based on a combination of one or more clinical indications and the relevant additional concept, and generating a signal indicative of the selected imaging protocol.

Abstract: When evaluating patient cases to determine complexity thereof, a computer-aided stratification technique is applied to analyze historical patient case diagnoses and correctness thereof in order to calculate a stratification score (20) for each of a plurality of abnormality types and/or anatomical locations. When a new patient case is received, the computer-aided stratification technique is applied to evaluate the patient case in view of historical data and assign a stratification score thereto. A ranked list (21) of current patient cases can be generated according to stratification scores, and physician workload can be adjusted as a function thereof so that workload is balanced across physicians and/or according to physician experience level.

Abstract: A medical selection system 100 for generating selection data includes a user input 110 for enabling a user to establish a selection of one or more medical images amongst a plurality of medical images 182 for establishing the one or more medical images as baseline images for use in a follow-up examination of a patient. A processor 120 generate selection data 132 being indicative of said selection, and includes selection metadata in the selection data for enabling associating the selection data with the plurality of medical images. An output 130 provides the selection data to a medical processing system 150 for enabling the medical processing system to select, based on the selection data, the one or more medical images amongst the plurality of medical images for use as the baseline images in the follow-up examination of the patient.

Abstract: A clinical decision support (CDS) system comprises: a case grouping sub-system (10) including a graphical user interface (30) that is operative to simultaneously display data representing a plurality of patient cases and further configured to enable a user to group selected patient cases represented by the simultaneously displayed data into clinically related groups (32) as selected by the user; a probative features determination sub-system (12) that is operative to determine probative features (44) that correlate with the clinically related groups; and a CDS user interface (16) that is operative to receive current patient data relating to a current patient case and to output clinical decision support information based on values of the probative features determined from the received current patient data.