A tissue monitoring system includes a sensor, a sensor reader, and at least one computing device. The sensor is releasably coupled to a staple by a tether and is configured to measure a physiological parameter of tissue and convert the measurement into a signal. The sensor reader is configured to receive the signal from the sensor and the at least one computing device is configured to receive the signal from the sensor reader and process the signal into physiological data. The sensor is implanted in tissue by the staple.

Provided herein are microelectrodes and methods of localizing and targeting the same. The microelectrodes include electrochemical or biological sensors, an array of electrical contacts along a long axis of the microelectrode, or both. The methods of localizing and targeting use statistical manipulations to reduce the errors inherent in spike train analyses.

In some embodiments, an apparatus includes providing a representation of a set of digital medical images to a first machine learning model to define a feature vector associated with a presence of an intracranial hemorrhage. A representation of the set of digital medical images is provided to a second machine learning model to define a second feature vector associated with a volume of the intracranial hemorrhage. Using a third machine learning model, a set of EMRs associated with risk factors for a predefined indication is analyzed to define a third feature vector. The first, second and third feature vectors are provided as inputs to a fourth machine learning model to determine a metric associated with an applicability of a specific treatment associated with a predefined indication. An alert is sent to relevant healthcare providers and relevant tests, procedures or bloodwork are ordered for the predefined indication.

Fluid introduction into the patient during surgery can be tracked more accurately. For example, saline is often introduced to a patient to clean an operating site. The saline is taken from a sterile bucket and introduced to the patient. In one described approach, the system senses the volume or weight of fluid in the sterile bucket and determines any decrease in the volume or weight to be an introduction of fluid to the patient. If, however, additional saline is added to the bucket, that addition is not counted in the fluid tracking and the further decrements from that new fluid amount is what is used to track fluid addition to the patient.

Devices for localizing an intracerebral hematoma or blood mass in brain tissue. The devices include an elongate probe a color sensors and a light emitter on the distal end of the probe. The color sensors produce a signal corresponding to the color of light reflected into the color sensors. A display is provided to indicate the color detected.

An optical analysis of saliva or a fluid-saliva mixture is performed in order to check whether the saliva or fluid-saliva mixture contains blood, which allows for determining whether or not a person may suffer from gingivitis or another condition affecting gum health. Light received from a representative volume of fluid (23) containing saliva is detected and analyzed. The analysis involves determination of at least one measurement value of light received by a light-receiving unit (25) for only a single wavelength of the light, particularly a wavelength that is associated with high absorption by a constituent of blood. It this respect, it is practical if the light-receiving unit (25) is configured to receive reflected light back from the volume of fluid (23). The optical analysis may be performed real-time during an action in a person's mouth involving a gum agitation effect, or after such action has taken place, for example.

A non-transitory recording medium recoding a program that causes a computer to execute processing includes: recording operation field images obtained by chronologically shooting an operation field under endoscopic surgery; determining presence or absence of a predetermined or larger amount of bleeding based on the operation field images; and playing back partial images according to a set playback mode in a time range from a time before a start of bleeding to the time after the bleeding among the recorded operation field images, when it is determined that the predetermined or larger amount of bleeding is present.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing at least a two-dimensional array of measurements of electromagnetic wave scattering by internal features of an object, wherein each said measurement represents scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the object as measured by a corresponding antenna of the array of antennas; and processing the scattering data to generate image data representing a spatial distribution of internal features of the object, wherein the generation of the image data does not involve tomographic reconstruction but is in accordance with a weighted mapping to directly map the measurements of electromagnetic wave scattering to a corresponding spatial distribution of electromagnetic wave scattering by the internal features of the object that corresponds to the physical shape of the object to enable the detection, localization, size estimation, shape estimation and classification of one or more features of interest of the object.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed.

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.