Abstract: The present disclosure provides a medical system (100) comprising at least one data processing unit (111, 121, 130), a mechanical ventilator (110), configured to be operated to cause a ventilation status at a to-be-ventilated subject, and a medical imaging device (120), configured as a mobile device. The at least one data processing unit (111, 121, 130) is configured to obtain, from the mechanical ventilator (110), ventilation status information associated with the ventilation status of the to-be-ventilated subject. Further, the at least one data processing unit (111, 121, 130) is further configured to trigger acquisition of a first image if the ventilation status meets a first image acquisition criterion. Furthermore, the at least data processing unit (111, 121, 130) is further configured to trigger acquisition of at least one subsequent, further image if the ventilation status meets a second image acquisition criterion.

Abstract: A diaphragm imaging device includes at least one electronic processor programmed to perform a diaphragm imaging method including receiving ultrasound imaging data of a diaphragm of a patient, the ultrasound imaging data being acquired by an associated ultrasound imaging probe with the probe at a plurality of different observable probe angles (?obs); for each observable probe angle, determining a corresponding apparent thickness (dI) of the diaphragm of the patient from the received ultrasound data acquired at that observable probe angle; and estimating a thickness (dD) of the diaphragm of the patient based at least on the apparent thicknesses (dI).

Abstract: A diaphragm measurement device includes a non-transitory storage medium storing a patient-specific registration model for referencing ultrasound imaging data to a reference frame. At least one electronic processor is programmed to perform a diaphragm measurement method including receiving ultrasound imaging data of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm of the patient referenced to the reference frame using the patient-specific registration model; and displaying, on a display device, a representation of the calculated diaphragm thickness metric.

Abstract: A mechanical ventilation assistance device includes at least one electronic controller configured to receive positional data of a patient; determine a position of an imaging device configured to obtain imaging data of the patient based on the received positional data; and display, on a display device, a representation of the determined position of the imaging device.

Abstract: A diaphragm measurement system (1) includes at least one electronic processor (13) programmed to perform a diaphragm measurement method (100) including receiving ultrasound imaging data (24) of a diaphragm of a patient over a time period encompassing multiple breaths; receiving respiration data of the patient over the time period; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm and the received respiration data; and displaying, on a display device (14), a representation (30) of the calculated diaphragm thickness metric.

Abstract: A medical device for treating an associated patient includes a bronchial sensor device configured to measure fluid pressure in a bronchus of the associated patient; and an electronic controller configured to: receive the fluid pressure data from the bronchial sensor device; and calculate a fluid flow measurement through the bronchus based on the measured fluid pressure.

Abstract: The present invention relates to an X-ray imaging system (10), comprising: an X-ray image acquisition unit (20); and a processing unit (30). The processing unit is configured to instruct the X-ray image acquisition unit to carry out a sequence of scans of a body part of a patient. The X-ray image acquisition unit is configured to provide the processing unit with an X-ray image of the body part for a scan of the sequence of scans. The processing unit is configured to determine that the scan needs to be repeated, wherein the determination comprises analysis of the X-ray image of the body part. The processing unit is configured to determine that an action other than acquisition of the next scan in the scan sequence is required, wherein the determination comprises analysis of the X-ray image of the body part.

Abstract: A medical device for treating an associated patient includes an electronic processing device configured to receive ventilation waveform data during mechanical ventilation of the associated patient and to perform a patient-ventilator asynchrony monitoring method including detecting initial patient-ventilator asynchrony events during a training period of the mechanical ventilation by analysis of measurements of the associated patient acquired during the training period; training a machine learning (ML) component to analyze ventilation waveform data to detect patient-ventilator asynchrony events using the ventilation waveform data received during the training period with labels indicating the initial patient-ventilator asynchrony events; applying the patient-specific ML component to the ventilation waveform data received after the training period to detect patient-ventilator asynchrony events occurring after the training period; and a display device configured to display an indication of patient-ventilator async

Abstract: A respiration monitoring device comprises an electronic controller configured to: receive an audio signal that is acoustically coupled with an airway of a patient receiving mechanical ventilation therapy from a mechanical ventilator; map the audio signal to one or more lung disease or injury condition categories; and at least one of: display the mapped one or more lung disease or injury condition categories on a display device; and determine a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient based at least on the mapped lung disease or injury condition categories and displaying the recommended adjustment on the display device.

Abstract: A mechanical ventilation device comprising at least one electronic controller is configured to receive images of lungs of a patient undergoing mechanical ventilation therapy with a mechanical ventilator, the images being acquired over time and having timestamps; process the images to generate timeline images at corresponding discrete time points; and display a timeline of the timeline images on a display device.

Abstract: A respiratory monitoring device includes an electronic controller configured to: analyze an audio signal triggered during inspiratory and expiratory phases of a patient receiving mechanical ventilation therapy from a mechanical ventilator, the audio signal being acoustically coupled into the airway of the patient, to determine resonant frequencies of the airway; determine a shift in the resonant frequencies between the inspiratory and expiratory phases to determine a presence of pendelluft inside of a lung of the patient; and output an indication of the presence of pendelluft.

Abstract: A mechanical ventilation device comprises at least one electronic controller configured to: receive ultrasound data related to a thickness of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; calculate a diaphragm thickness metric based on at least the ultrasound data; and when the calculated diaphragm thickness metric does not satisfy an acceptance criterion, at least one of: output an alert indicative of the calculated diaphragm thickness metric failing to satisfy the acceptance criterion; and output a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient.

Abstract: The invention relates to a method (100) for supervised training of an artificial neural network for medical image analysis. The method comprises acquiring (SI) first and second sets of training samples, wherein the training samples comprise feature vectors and associated predetermined labels, the feature vectors being indicative of medical images and the labels pertaining to anatomy detection, to semantic segmentation of medical images, to classification of medical images, to computer-aided diagnosis, to detection and/or localization of biomarkers or to quality assessment of medical images. The accuracy of predetermined labels may be better for the second set of training samples than for the first set of training samples. The neural network is trained (S3) by reducing a cost function, which comprises a first and a second part.

Abstract: The present invention relates to an apparatus for the detection of opacities in X-ray images. It is described to provide (210) an analysis X-ray image of a region of interest of an analyzed body part. A model of a normal region of interest is provided (220), wherein the model is based on a plurality of X-ray images of the region of interest. At least one abnormality is detected (230) in the region of interest of the analyzed body part, the detection comprising comparing the analysis X-ray image of the region of interest and the model of the normal region of interest. Information is output (240) on the at least one abnormality.

Abstract: The quality of thoracic X-rays is depends on the inspiration state of an imaged patient. If the lungs of a patient are not significantly inflated during a thoracic X-ray, tissue from surrounding organs can cause the image to become cloudier, and the lung parenchyma is not effectively shown. Thus, there is a reliance on a medical professional to ensure that the patient is in an appropriate posture and inspiration state at the point of image exposure. This can be difficult with patients suffering from chronic conditions, though. Therefore, this application discusses a means to assess the inspiration state using the position of rib bones, and the diaphragm line in the X-ray image. Thus, an accurate estimate of inspiration state can automatically be reported to a medical professional, before a patient leaves the examination room, allowing an X-ray to be retaken, if necessary.

Abstract: The present invention relates to an apparatus for the detection of opacities in X-ray images. It is described to provide (210) an analysis X-ray image of a region of interest of an analyzed body part. A model of a normal region of interest is provided (220), wherein the model is based on a plurality of X-ray images of the region of interest. At least one abnormality is detected (230) in the region of interest of the analyzed body part, the detection comprising comparing the analysis X-ray image of the region of interest and the model of the normal region of interest. Information is output (240) on the at least one abnormality.

Abstract: The quality of thoracic X-rays is depends on the inspiration state of an imaged patient. If the lungs of a patient are not significantly inflated during a thoracic X-ray, tissue from surrounding organs can cause the image to become cloudier, and the lung parenchyma is not effectively shown. Thus, there is a reliance on a medical professional to ensure that the patient is in an appropriate posture and inspiration state at the point of image exposure. This can be difficult with patients suffering from chronic conditions, though. Therefore, this application discusses a means to assess the inspiration state using the position of rib bones, and the diaphragm line in the X-ray image. Thus, an accurate estimate of inspiration state can automatically be reported to a medical professional, before a patient leaves the examination room, allowing an X-ray to be retaken, if necessary.

Abstract: The present invention relates to mammography. In particular, the present invention relates to a method and a corresponding system for individually monitoring a compression force in an apparatus for mammographic examination for personalized compression guidance. In order to provide a personalized guidance for the compression of the breast in a first step (S1a, S1b, S1c) a breast contact area (A) between a breast under examination and a compression plate (3) or a support plate (15) is determined. In a next step (S5) a compression force limit is determined based on the breast contact area (A). Then, in a further step (S9a, S9b, S9c) an output signal (5) representative of the relation between the breast contact area (A) and the compression force limit is provided to a user such that the user may decide whether to complete or to continue the application of compression force.

Abstract: The present invention relates to mammography. In particular, the present invention relates to a method and a corresponding system for individually monitoring a compression force in an apparatus for mammographic examination for personalized compression guidance. In order to provide a personalized guidance for the compression of the breast in a first step (S1a, S1b, S1c) a breast contact area (A) between a breast under examination and a compression plate (3) or a support plate (15) is determined. In a next step (S5) a compression force limit is determined based on the breast contact area (A). Then, in a further step (S9a, S9b, S9c) an output signal (5) representative of the relation between the breast contact area (A) and the compression force limit is provided to a user such that the user may decide whether to complete or to continue the application of compression force.