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.
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
A61B 90/90 - Identification means for patients or instruments, e.g. tags
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
Described herein are example methods and example systems for providing guidance to a user during a medical procedure. The example methods may be performed by one or more processors and may include estimating a blood loss of a patient, determining a current patient stage of a blood loss protocol based on the estimated patient blood loss, and providing guidance to a user based on the current patient stage of the blood loss protocol. The blood loss protocol may include a plurality of stages, and each stage may include one or more elements. Providing guidance to a user may include selecting one or more elements from the current patient stage of the blood loss protocol.
A61B 5/02 - Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
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.
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
A61B 90/90 - Identification means for patients or instruments, e.g. tags
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
4.
METHODS AND SYSTEMS FOR PROCESSING AN IMAGE IN WHICH A MACHINE-READABLE CODE IS AT LEAST PARTIALLY OBSCURED
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.
G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
5.
SYSTEMS AND METHODS FOR INLINE FLUID CHARACTERIZATION
A system performs a method for characterizing passage of a patient fluid through a conduit. The method includes quantifying flow of fluidic content through a conduit, where the fluidic content includes a patient fluid, estimating a concentration of a fluid component of the patient fluid in the fluidic content, and characterizing passage of the patient fluid loss through the conduit based on the quantified flow and the concentration of the fluid component. At least one of the quantified flow or the concentration of the fluid component is based on sensor data from a sensor arrangement coupled to the conduit. Other apparatus and methods are also described.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
A61M 1/00 - Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
G01F 1/76 - Devices for measuring mass flow of a fluid or a fluent solid material
G01N 21/25 - Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
G01N 21/85 - Investigating moving fluids or granular solids