Abstract: Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing machine executable instructions (120). The medical system further comprises an anatomical detection module (122). The anatomical detection module is configured for detecting an anatomical deviation in response to inputting tomographic medical scout image data (124). The anatomical detection module is configured for outputting a localization (126) of the anatomical deviation in the tomographic medical scout image data if the anatomical deviation is detected. The medical system further comprises a processor (104) configured for controlling the medical system.

Abstract: Embodiments are described herein for training machine learning models using digital twin outputs, including for purposes of pain quantification and estimation. In various embodiments, simulation parameter(s) may be applied to a digital twin created for a subject. The digital twin may simulate an anatomical structure of the subject, and the simulation parameter(s) may cause the digital twin to generate digital twin output that simulates behavior of the anatomical structure in response to the one or more simulation parameters. Data indicative of the digital twin output may be applied as input across a pain estimation machine learning model to generate pain estimation output. Based on the pain estimation output, a quantification of pain, e.g., an estimated pain score, may be rendered using an output device and/or used to select a treatment plan.

Abstract: For the field of determining the position of an invasive device (1) a solution for improving the localization of the invasive device (1) is specified. This is achieved by an arrangement and a method for determining the position of an invasive device (1), wherein an optical shape sensing system for sensing a position and/or shape of the invasive device (1) is provided, wherein the system is arranged to localize at least one point Pi on the invasive device (1) at a position xi, yi, zi, with some error margin (2?xi, 2?yi, 2?zi) in a region of interest (3), localizing and reconstructing at least one point Pi on the invasive device (1) at a position xi, yi, zi, with some error margin (2?xi, 2?yi, 2?zi) in a region of interest (3) by the optical shape sensing system.

Abstract: Handheld ultrasound devices with display-retaining designs that allow the processor/display assembly to be removed and/or repositioned are provided. According to one embodiment, a handheld ultrasound scanning device includes a main body housing having a first side and a second side. An ultrasound transducer is coupled to the second side and is configured to obtain ultrasound data. A communication interface is communicatively coupled to the ultrasound transducer and configured to transmit the ultrasound data obtained by the ultrasound transducer to a processor and display assembly. The first side of the main body housing includes a retention feature that is configured to retain the processor and display assembly in contact with the main body housing at a position and orientation relative to the main body housing.

Abstract: An audio apparatus and method employ a first renderer circuit, wherein the first renderer circuit is arranged to render audio elements by generating a first plurality of audio signals for a plurality of loudspeakers; and a second renderer circuit, wherein the second renderer circuit is arranged to render audio elements by generating a second plurality of audio signals for headphones. The audio apparatus and method perform an analysis of the first audio element to determine an audio property of the first audio element, and select between rendering of at least a first part of the first audio element via the plurality of loudspeakers and rendering of at least the first part of the first audio element via the headphones, based on a result of the analysis.

Abstract: A mechanical ventilation system comprises a mechanical ventilator configured to deliver ventilation to a patient. An electronic controller is programmed to control the mechanical ventilator to perform a mechanical insufflation-exsufflation (MI-E) therapy method including performing a MI-E cycle including: (i) during an insufflation cycle, delivering pressure to the patient at a positive insufflation gauge pressure; (ii) during an exsufflation cycle following step (i), delivering pressure to the patient at a negative exsufflation gauge pressure and detecting whether an upper airway collapse occurs; and (iii) reducing a magnitude of the negative exsufflation gauge pressure if an upper airway collapse is detected in step (ii).

Abstract: For a radio frequency (RF) receiver system a solution for a safe operation of the radio frequency (RF) receiver system in magnetic resonance imaging shall be ensured. This is achieved by a radio frequency (RF) receiver system for use in a magnetic resonance (MR) imaging system the RF receiver system, wherein the RF receiver system comprises at least one RF receive coil with at least one detune circuit (1). The detune circuit (1) comprises at least a pair of crossed diodes (D1, D2) with an interface, wherein the interface is configured to measure an electrical current in the detune circuit (1) to determine the proper function of the PIN diodes (D1, D2) by measuring the detune direct current for a first detune voltage polarity and for a second reversed detune voltage polarity.

Abstract: A prediction model is provided which is capable of predicting a correctness of a segmentation by a segmentation algorithm. The prediction model may be trained using a machine learning technique, and after training used to predict the correctness of a segmentation of a boundary in respective image portions of an image by the segmentation algorithm. The predicted correctness may then be visualized, for example as an overlay of the segmentation.

Abstract: A radiology workstation (24) includes at least one display component (30, 32); at least one user input device (28); and at least one microprocessor (26, 34) programmed to generate a contextual ranking of clinical codes for a context received via the at least one user input device (28) and to display information pertaining to the contextual ranking on the display component (30, 32) of the radiology workstation (24). The contextual ranking is computed by the microprocessor from (i) statistics of occurrences of the clinical codes in radiology reports contained in a radiology reports database (10) and satisfying the context and (ii) statistics of the clinical codes in problem lists contained in a problem lists database and satisfying the context.

Abstract: A skin treatment device provides feedback to a user relating to the force or pressure they are applying. In addition to the feedback provided for indicating that the pressure is too high, correct, or too low, there is a further feedback type when the force or pressure is below a lowest threshold value, indicating that there is no contact between the skin and the device. Providing the same feedback information when the user is applying a too low pressure as when the user has deliberately released the device from contact with the skin is thereby avoided.

Abstract: A head unit of a depilation appliance comprises at least one pair (11) of hair-clamping elements (12, 13), wherein the hair-clamping elements (12, 13) have tweezer surfaces (14, 15) which are arranged to face each other, and which are movable towards and away from each other in their entirety so as to be movable into and out of contact to each other. In order to achieve improved hair-clamping performance of the at least one pair (11) of hair-clamping elements (12, 13), the tweezer surfaces (14, 15) are further configured to move into alignment with each other in the process of getting into contact to each other, wherein the entirety of the tweezer surface (14) of one (12) of the hair-clamping elements (12, 13) is tillable relative to a support (17) that is included in the respective hair-clamping element (12).

Abstract: The present disclosure pertains to a system for delivering a humidified flow of concentrated oxygen containing gas to a subject, the system comprising: a subject interface; an oxygen concentrator operatively coupled to the subject interface, the oxygen concentrator configured to provide a flow of concentrated oxygen containing gas to the subject interface via a first conduit; and an aerosol generator operatively coupled to a water supply via a second conduit, the aerosol generator configured to provide a water vapor to the subject interface via the second conduit to humidify the flow of concentrated oxygen containing gas for delivery to the subject.

Abstract: The present disclosure describes medical imaging systems and methods configured to generate medical images based on undersampled imaging data. The images may be generated by applying a neural network trained with samples of known fully sampled data and undersampled data derived from the known fully sampled data to a acquired sparsely sampled data. The training of the neural network may involve training adversarial generative network including a generator and a discriminator. The generator is trained with sets of known undersampled data until the generator is capable of generating estimated image data, which the classifier is incapable of differentiation as either real or fake, and the trained generator may then be applied to unknown undersampled data.

Abstract: According to an aspect, there is provided a personal care device (52) for performing a light-based hair removal or photo-epilation operation on a body of a subject. The personal care device (52) comprises a housing (54) that includes a first window or opening (68), a light source configured to generate light to perform the light-based hair removal or photo-epilation operation, wherein the light source is arranged in the housing such that light emitted by the light source illuminates a part of the body, a receiving member in or on the housing (54) for receiving and retaining a consumer electronic device (62) in or on the personal care device (52), and an optical system (80) in the housing (54) for enabling an imaging unit (78) of a consumer electronic device (62) retained in the recess (60) to obtain images of a part of the body via the first window or opening (68).

Abstract: A method and system for treating a patient is described. The method includes: (i) receiving a sample from a patient, the sample including one or more cancer cells; (ii) obtaining, using an imaging device, one or more images of the cancer cells; (iii) processing, using an imaging processor, the one or more images to extract one or more image coefficients; (iv) mapping, using a trained classifier, the one or more image coefficients to a cancer cell type; (v) identifying, based on mapping the one or more image coefficients to a cancer cell type, one or more cancer cell types in the sample; (vi) identifying, based on the identified one or more cancer cell types in the sample, a course of treatment specific to the one or more cancer cell types; and (vii) treating the patient using the identified course of treatment.

Abstract: The present invention relates to an apparatus (10) for correcting computer tomography (“CT”) X-ray data acquired at high relative pitch, the apparatus comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to provide the processing unit with CT X-ray data of a body part of a person acquired at high relative pitch. The processing unit is configured to determine CT slice reconstruction data of the body part of the person with no or reduced high relative pitch operation reconstruction artefacts using a machine learning algorithm. The machine learning algorithm was trained on the basis of CT slice reconstruction data, and wherein the CT slice reconstruction data comprised first CT slice reconstruction data with high relative pitch reconstruction artefacts and comprised second CT slice reconstruction data with less, less severe, or no high relative pitch reconstruction artefacts.

Abstract: Provided is a domestic kitchen apparatus including a food chamber for receiving food. The domestic kitchen apparatus includes an optical range sensor for optical range sensing. The optical range sensor has at least one optical sensing element. The domestic kitchen apparatus further includes, as a separate component provided in addition to the optical range sensor, a reflector assembly. The reflector assembly reflects light directed from the food received in the food chamber onto the at least one optical sensing element.

Abstract: System (SYS) for supporting X-ray imaging and related methods. The system (SYS) comprises a machine learning module (MLM), a logic (LG) configured to compute output correction information for adjusting an imaging geometry of an X-ray imaging apparatus to achieve a target imaging geometry. A modulator (MOD,L-MOD, H-MOD, S-MOD) is the system is configured to provide a user instruction for imaging geometry adjustment. The user instruction is modulated based on the output correction information. The machine learning module was previously trained on training data including a specific user's responses to previous instructions.