GE Precision Healthcare

A radiation imaging apparatus (90) includes a substrate (92) and a radiation-sensitive imaging region (96) in the substrate (92) including pixels (60). The radiation imaging apparatus (90) includes a guard region (94) at or immediately adjacent a cut edge (95) of the substrate (92), wherein the guard region (94) reduces the leakage current reaching the radiation-sensitive imaging region (96) from the cut edge (95) when the radiation imaging apparatus (90) is in use. The radiation-sensitive imaging region (96) is electrically reverse biased with respect to the substrate (92). The radiation-sensitive imaging region (96) includes a portion (134) adjacent the guard region (94) that is closest to where incident radiation impacts the radiation imaging apparatus (90). The pixels (60) include a first pixel electrode (146) located in the portion (134) where a first longitudinal end (150) of the first pixel electrode (146) closest to the guard region (94) is a first distance (154) from the guard region (94) that reduces an amount of the leakage current received by the first pixel electrode (146).

Systems are provided for perioperative care. In an example, a system for tracking phases of anesthesia delivery over a case for a patient includes one or more processors and memory storing instructions executable by the one or more processors to output (802) a GUI including a first visual representation of a default or previously-determined phase of anesthesia delivery for the patient; receive (602) a plurality of monitoring parameters of the patient over an observation window; identify (606), by applying a set of rules to the plurality of monitoring parameters, whether an event signaling a change to a new phase of anesthesia delivery for the patient is detected; based on the event being detected and determined to be a true event, update (617) the GUI to display a second visual representation of the new phase; and based on the event not being detected, maintain (810) the first visual representation on the GUI.

Provided is a telescopic cylinder (100) and an X-ray imaging system. The telescopic cylinder includes a plurality of sleeves arranged in a nested configuration and having mutually parallel central axes. Each inner sleeve cooperates with an outer sleeve adjacent thereto to enable relative sliding such that each inner sleeve can extend and collapse relative to that outer sleeve. The telescopic cylinder further includes guide assemblies. Each guide assembly includes rollers and a rail that are configured as a set. The rollers are provided on left and right sidewalls and rear walls of the inner sleeves and the rails are correspondingly provided on left and right sidewalls and rear walls of the outer sleeves. The rollers and the rail in the same guide assembly are provided on an outer wall surface of the inner sleeve and an inner wall surface of the corresponding outer sleeve, respectively, such that the rollers can roll on guide surfaces defined by the rail, thereby guiding movement of the inner sleeve relative to the outer sleeve. The telescopic cylinder has sufficient structural stability and rigidity while allowing smooth extension and collapse, with good operational stability, low susceptibility to failure, easy maintenance, and low space requirements.

The present disclosure relates to an obstacle processing method and apparatus for a medical imaging system, an electronic device, a storage medium, and a program product. The method includes: collecting, by means of a visible light camera, a camera image corresponding to a target workspace of a target subsystem of a medical imaging system, wherein the target workspace is a target movement path or an imaging beam range; detecting an obstacle in the target workspace based on the camera image to obtain an obstacle detection result of the target workspace; and performing obstacle processing on the target workspace in response to the obstacle detection result indicating that an obstacle is detected.

Systems and methods are provided for a sepsis alert engine. In one example, a computing device (102) comprising a display screen (122) displays a menu listing one or more electronic medical records (EMRs) (280) of one or more patients, and is configured to display a sepsis alert GUI (300) accessible from the menu while the one or more EMR systems are in an un-launched state. The sepsis alert GUI displays a sepsis level element (330) identifying a sepsis level for each patient displayed as well as a limited list of criteria (322) that triggered the identified sepsis level. The limited list of criteria is met by patient data obtained from the one or more EMRs and each criterion in the limited list is selectable to launch a pop-up UI (600) with additional information relating to the identified sepsis level, wherein the sepsis level element is assigned to each patient according to a corresponding patient level of care.

Various methods and systems are provided for a suction electrode assembly (200), comprising, an electrode housing (204) that surrounds and positions an electrode plate (302), the electrode housing being coupled to a vacuum system (112), a suction dome housing (202) configured to position the electrode housing and comprises a top portion (202a), a bottom portion (202b), and a conical middle portion (202c) with an axially varying wall thickness that couples the top portion and the bottom portion, and wherein the top portion is configured to withstand a force that depresses the top portion, the conical middle portion is configured to concentrically collapse in response to the top portion being depressed, and the bottom portion is configured to contact a surface.

A waveform anomaly detection system (360) is provided that automatically detects and tags waveform data patterns in physiological patient (time-series) data that match predefined, clinically validated patterns (1300, 1400, 1500), to enable clinicians to match and corroborate their own observations with tool-triggered findings. As a result, clinicians may make more informed clinical decisions without having to manually review enormous amounts of time-series data. Additionally, when anomalous waveform patterns (1300, 1400, 1500) are detected, relevant patient data from an electronic medical record (EMR) (350) or similar databases and/or platforms (352) may be automatically retrieved and integrated into the waveform data, such that the integrated data may be viewed together on a display device (140). The data may be stored with the anomalous waveform patterns (1300, 1400, 1500) in a database (354) of the waveform anomaly detection system (360), where analysis results can be accessed conveniently by a caregiver of the patient, for example, using a personal computing device such as a smart phone (140).

The present disclosure relates to the field of medical data management, and in particular to a data playback method and system, and a storage medium. The method includes: acquiring medical data collected by a plurality of medical devices, wherein the medical data includes physiological parameter data of a target subject within a period of time and a medical event related to the target subject; preprocessing the physiological parameter data, wherein the preprocessing comprises: dividing the physiological parameter data into a plurality of data segments in chronological order; in response to the selection of a first time period, preloading a data segment corresponding to the first time period, and caching the preloaded data segment into a data pool; and rendering the preloaded data segment to obtain a waveform graph of the first time period; and concurrently displaying the waveform graph of the first time period and the medical event . By means of a preloading and caching mechanism, embodiments of the present disclosure implement rapid playback and display of medical data collected by a plurality of medical devices within a first time period.

Various methods and systems are provided for a medical imaging system. In one embodiment, a method for imaging a lung of a patient includes identifying (308), within a three-dimensional (3D) volume of ultrasound data of the lung of the patient, a pleural surface of a pleural line, identifying (502) an orthogonal deviation of each voxel of the pleural surface relative to an expected pleural line, and outputting (516) an image rendered from the 3D volume, the image including a plurality of pixels colored based on the orthogonal deviation of each voxel of the pleural surface and depicting the pleural surface as if viewed from an inside of the lung and looking outward.

An imaging device or system (10), e.g., a mammography imaging system (12), and associated method provides artefact-reduced images (420,422,424) of an object (52). The system (10) and method generates a standard reconstructed volume (410) of the object (52) created from one or more projection images (404) obtained of the object within an angular range of less than +/- 60 degrees relative to the object (52). A resolution enhancement artificial intelligence (414) is applied to the projection images (404) to form an artefact-reduced/quasi-isotropic volume (416), and one or more quasi-isotropic images (420,422,424) obtained therefrom along planes that are orthogonal to the plane of the detector (18) for the mammography imaging system (12) . The resolution of the quasi-isotropic images (420,422,424) is similar to images obtained in a simulated computed tomography imaging procedure and the quasi-isotropic volume (416) can be utilized to provide effective diagnostic images using strain elastography and the digital decompression of the quasi-isotropic volume (416) to create a modifiable digital uncompressed object volume (800).