The present disclosure relates to systems and methods for assessing the status of colon cleansing. In particular, the present disclosure relates to systems and methods to determine completion of colon preparation in subjects prior to a gastrointestinal procedure in real time.

A system for the characterization of vital or reconstituted tissues, in particular skin appendages, includes a plurality of sources of electromagnetic radiation to be spatially oriented and to irradiate according to a selected angle of incidence a sample of vital or reconstituted tissue having a series of filaments of a person that are homogenous in structural type, at least one image acquisition device for receiving a reflected and/or dispersed radiation from the sample, or a fluorescence radiation emitted by the sample, and an image processing unit configured to process reflection, and/or dispersion and/or fluorescence images, and to classify examined tissue to compare the value of at least one parameter selected from gloss, dimensions, colour intensity, contour of the filaments of the sample with a database of parameters of classes of predetermined vital or reconstituted tissues, and/or to compare the value of the at least one parameter with a database of historic values of parameters of the tissue.

Medical devices and methods thereof for determining bacterial infections in blood. The medical devices and methods thereof can utilize a coating including an antibody conjugated to a reporter protein configured to indicate a bacterial infection in a patient's blood by way of an antigen thereof. Exemplary medical devices include, but are not limited to, a catheter assembly, an AV fistula needle set, an extension set for either a catheter assembly or an AV fistula needle set, and a hemodialysis tubing set. The medical devices and methods thereof can utilize immunochromatographic separation of the antibody and an antigen-antibody complex to indicate a bacterial infection in a patient's blood.

An electronic device may include: a communication circuit; a display; and a processor, wherein the processor obtains skin information including a plurality of parameters, and provides at least one recommended color information based on at least one parameter of the plurality of parameters included in the skin information.

According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

Systems and methods for acquiring photoplethysmographic (PPG) signals for measuring blood pressure can include a computing device acquiring a sequence of images representing transdermal optical data of a subject, and generating a corresponding sequence of downsampled color frames. The computing device can identify, in each downsampled color frame, a respective central image block representing a central image region of the downsampled color frame and having a first size smaller than a second size of the downsampled color frame. The computing device can generate, for each downsampled color frame, a corresponding color intensity value based on the respective central image block. The computing device can generate, using color intensity values corresponding to the sequence of downsampled color frames, a PPG signal to determine a blood pressure value of the subject.

According to an embodiment, an electronic device includes a camera, and at least one processor configured to: determine, from an image including a face of a user obtained via the camera, skin information indicating a skin condition of the user, generate control information for controlling a skin-care device to perform care based on the determined skin information and information regarding the skin-care device, and provide the control information to the skin-care device.

The present disclosure discloses a quantitative evaluation system and evaluation method for hemangioma. The evaluation system includes an image acquisition module, an image analysis module, a result evaluation module and a display module. The image acquisition module includes a light source device, an imaging device and a storage device. The image analysis module includes a digital signal processor and digital analysis software. The digital signal processor divides pixel points of the hemangioma image into a tumor image and a tumor side image. The digital analysis software calculates comprehensive red, green, blue (RGB) values of the tumor image and the tumor side image. The result evaluation module includes a therapeutic evaluation coefficient, and the therapeutic evaluation coefficient = tumor comprehensive RGB value - tumor-side comprehensive RGB value.

A processor for an endoscope includes an image processing unit that obtains a severity of a lesion in which a degree of progression is represented by one value, wherein the image processing unit includes a feature amount calculation unit configured to calculate a first pixel evaluation value indicating a degree of a first feature of appearance appearing in a lesion part, a representative value calculation unit configured to calculate a first representative evaluation value by integrating the first pixel evaluation values, and an integration unit configured to adjust an influence degree of the first representative evaluation value indicating a change in the severity with respect to a change in the first representative evaluation value based on information on a color component of an image, and calculate the severity of the lesion based on at least the first representative evaluation value by using the adjusted influence degree.

A system comprises an image capture device, an augmented reality (AR) display to display, and a processing device. The processing deice receives image data of a dental arch from the image capture device and processes the image data using a plurality of detection rules, where each detection rule detects one or more dental conditions. The processing device determines a dental condition for the dental arch based on the processing, determines a position of an area of interest on the dental arch, wherein the area of interest is associated with the dental condition, generates a visual overlay comprising an indication of the dental condition at the position of the area of interest, and outputs the visual overlay to the AR display, wherein the visual overlay is superimposed over a view of the dental arch on the AR display at the position of the area of interest.