Abstract: A machine accesses a first image captured prior to initiation of a procedure, where the first image depicts a set of instruments, as well as a second image captured after initiation of the procedure, where the second image depicts a proper subset of the set of instruments depicted in the first image. From the first and second images, the machine may determine that an instrument among the set of instruments depicted in the first image is not depicted among the proper subset of the set of instruments in the second image, and then cause presentation of a notification that indicates the instrument not depicted in the second image is missing. Alternatively, or additionally, the machine may determine whether an instrument among the set of instruments was used in the procedure, and then cause presentation of a notification that indicates whether the instrument was used in the procedure.

Abstract: Systems and methods for assessing a flow of fluids suctioned from a patient. The flow of fluids may be divided according to a flow division ratio. An image of a first portion of the fluids may be evaluated to determine an estimated blood component quantity as a representative fraction of the flow of fluids. An intermittent estimate of blood loss may be determined based on the flow division ratio and the estimated blood component quantity, and a total estimate of blood loss updated based on the intermittent estimate. The representative fraction is projected or extended to be an estimated blood component quantity of the second portion of the fluids that bypasses the receptacle. The images may be continuously captured with a camera, and a fluid level of the fluids with a receptable may be continuously monitored. The total estimate of blood loss may be displayed in real-time on a display.

Abstract: A method for tracking surgical items with a system including an imaging system, a display, and one or more processors is provided. The method includes capturing a video that depicts a user handling the surgical items, and performing computational analysis of the video to detect a characteristic arm motion of the user which is indicative of the user moving the surgical item to be counted in to a surgical procedure. The method further includes, in response to each instance of the characteristic arm motion being detected, updating a count of surgical items and displaying the updated count on the display.

Abstract: Systems and methods for assessing a flow of fluids suctioned from a patient. The flow of fluids may be divided according to a flow division ratio. An image of a first portion of the fluids may be evaluated to determine an estimated blood component quantity as a representative fraction of the flow of fluids. An intermittent estimate of blood loss may be determined based on the flow division ratio and the estimated blood component quantity, and a total estimate of blood loss updated based on the intermittent estimate. The representative fraction is projected or extended to be an estimated blood component quantity of the second portion of the fluids that bypasses the receptacle. The images may be continuously captured with a camera, and a fluid level of the fluids with a receptable may be continuously monitored. The total estimate of blood loss may be displayed in real-time on a display.

Abstract: Systems and methods for estimating a blood volume within a canister. The system may include means for detecting a fluid level of the fluid, such as a float sensor mechanism disposed within the canister. An imaging device captures an image of the fluid within the canister. A processor determines an estimated concentration of a blood component in the fluid based on the image. The processor determines a canister volume of the fluid based on the detected fluid level, and estimates the blood volume within the canister based on the estimated concentration of the blood component and the determined canister volume. The processor may trigger the imaging device to capture the image based on a change in the canister volume. An insert may be arranged within the canister and positioned adjacent to and offset from a transparent region of the canister.

Abstract: Described herein are methods and systems for tracking surgical items. The methods may be performed by one or more processors, and may include receiving a first count of surgical items, receiving one or more images, wherein each image is a field of view comprising one or more surgical items, determining a second count of surgical items based at least in part on the one or more received images, and providing a notification based on the comparison between the first count of surgical items and the second count of surgical items.

Abstract: Systems and methods for processing an image of a machine-readable code. The method includes accessing an image of a machine-readable code comprising coded information, wherein the machine-readable code is at least partially obscured, occluded, false, or blurry. The image is refined by a trained neural network to render the machine-readable code locatable. An adjusted image may be generated in which the orientation of the machine-readable code is refined. The coded information is decoded, and fluid-related information may be displayed based on the decoded information. The decoded information may be unique to the item to which the machine-readable code is affixed. Other apparatus and methods are also described.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured. An adjusted image is generated by adjusting a color space of the image. At least a machine-readable code region of the image is binarized, wherein the machine-readable code region of the image depicts the machine-readable code. The binarized machine-readable code region is decoded to determine the coded information. Other apparatus and methods are also described.

Abstract: A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.

Abstract: A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.

Abstract: A method of estimating blood loss of patient fluid within a fluid canister. A camera may automatically capture one or more images of the fluid canister based on a detected change in volume of patient fluid within the fluid canister exceeding a threshold. The image is analyzed determine the volume of the patient fluid, and a blood concentration of the patient fluid within the fluid canister. The blood loss is estimated based on the volume and the blood concentration, and displayed on a display. A pixel-based height of the patient fluid within the fluid canister may be calculated based on the surface of the patient fluid. The pixel-based height may be converted to the estimated fluid volume. The image may be a frame of a multi-frame video feed. The image(s) of the multi-frame video feed may be analyzed as the patient fluid is being drawn into the fluid canister.

Abstract: Disclosed is a method of capturing an image of diagnostic test results. The method may include acquiring an image of a diagnostic test positioning card using an image capture device, determining the presence of a plurality of fiducial images on the test positioning card, determining the presence of a diagnostic test result carrier placed on the test positioning card and verifying positioning of the test result carrier on the test positioning card. An image of the test result carrier may then be captured. The method may also include acquiring an image of a test result carrier using an image capture device, determining image features in the image of the test result carrier and verifying positioning of the test result carrier relative to the image capture device using the image features. An image including the test result carrier may then be captured.

Abstract: A method for analyzing a surgical textile. A depth image and a color image of the surgical textile is acquired. One or more processors analyze a depth map of the depth image to apply one or more image classifiers. Blood information is extracted from pixels of the color image if the depth image satisfies the classifier(s). The classifier(s) may be a perimeter classifier, a planarity classifier, a normality classifier, a distance classifier, and/or a color classifier, among others. The distance classifier may include transforming pixel dimensions of a selected surface in the depth image into real dimensions based on distance values of the pixels. A graphical representation may be displayed to indicate the need to move the surgical textile closer or farther to satisfy the distance classifier. A prompt may be displayed to manipulate the surgical textile prior to the steps of acquiring the depth image and the color image.

Abstract: A method for estimating extracorporeal blood volume in at least a portion of a fluid canister. A light source may be activated, and an image of the fluid canister is captured with an optical sensor. The image may be a color frame of a video stream. A color-related feature is extracted from at least a portion of the image. A concentration of hemoglobin is estimated based on the extracted color-related feature. A fluid level of fluid within the fluid canister may be estimated from the image. Extracorporeal blood volume based on the estimated concentration of hemoglobin and a fluid volume or the estimated fluid level. The estimated extracorporeal blood volume is displayed on a display. The estimated extracorporeal blood volume and the estimated fluid level may be monitored over time. The optical sensor may be disposed on a handheld mobile device mounted to a side of the fluid canister.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured. An adjusted image is generated by adjusting a color space of the image. At least a machine-readable code region of the image is binarized, wherein the machine-readable code region of the image depicts the machine-readable code. The binarized machine-readable code region is decoded to determine the coded information. Other apparatus and methods are also described.

Abstract: A variation of a method for estimating a quantity of a blood component in a fluid canister includes: within an image of a canister, identifying a reference marker on the canister; selecting an area of the image based on the reference marker; correlating a portion of the selected area with a fluid level within the canister; estimating a volume of fluid within the canister based on the fluid level; extracting a feature from the selected area; correlating the extracted featured with a concentration of a blood component within the canister; and estimating a quantity of the blood component within the canister based on the estimated volume and the concentration of the blood component within the canister.

Abstract: Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

Abstract: A method for estimating extracorporeal blood volume in at least a portion of a physical sample. A feature is extracted from an image of the physical sample. The extracorporeal blood volume in the portion of the physical sample is estimated. The estimation may be based on the extracted feature and at least one of the estimated distance and the estimated angle between a capture origin of the image and the portion of the physical sample based on a returned signal transmitted from a distance sensor. The estimated extracorporeal blood volume may be displayed on a display, such an augmented reality overlay in which the image of the portion of the physical sample is displayed with at least one of the estimated extracorporeal blood volume or a sample counter. The sample counter may be indexed for the physical sample after estimating the extracorporeal blood volume.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

Abstract: A method and system for communicating estimated blood loss parameters of a patient to a user, the method comprising: receiving data representative of an image, of a fluid receiver; automatically detecting a region within the image associated with a volume of fluid received at the fluid receiver, the volume of fluid including a blood component; calculating an estimated amount of the blood component present in the volume of fluid based upon a color parameter represented in the region, and determining a bias error associated with the estimated amount of the blood component; updating an analysis of an aggregate amount of the blood component and an aggregate bias error associated with blood loss of the patient, based upon the estimated amount of the blood component and the bias error; and providing information from the analysis of the aggregate amount of the blood component and the aggregate bias error, to the user.