The present disclosure relates to a data acquisition device and a configuration method. The device includes a channel, wherein the channel includes a data control panel and a plurality of detection components. At least one of the plurality of detection components is directly connected to the data control panel. The data control panel may be configured to identify the channel and send a configuration command to the plurality of detection components. The plurality of detection components may determine channel location numbers of the plurality of detection components based on the configuration command and send the channel location numbers to the data control panel. The data control panel may determine identification numbers for the plurality of detection components based on the channel location numbers and allocate the identification numbers to the plurality of detection components.

The present disclosure relates to a data acquisition device and a configuration method. The device includes a channel, wherein the channel includes a data control panel and a plurality of detection components. At least one of the plurality of detection components is directly connected to the data control panel. The data control panel may be configured to identify the channel and send a configuration command to the plurality of detection components. The plurality of detection components may determine channel location numbers of the plurality of detection components based on the configuration command and send the channel location numbers to the data control panel. The data control panel may determine identification numbers for the plurality of detection components based on the channel location numbers and allocate the identification numbers to the plurality of detection components.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

The present disclosure relates to energy-based surgical procedures. In accordance with aspects of the present disclosure, a computer implemented method includes accessing an image of tissue of a patient, accessing control parameter values of a generator configured to provide energy based on control parameters, processing the image of the tissue and the control parameter values by an artificial-intelligence learning system to provide an output relating to configuration of the control parameters, providing an indication to a clinician based on the output where the indication indicates whether to maintain the control parameter values, and providing adjusted control parameter values for the generator based on the output of the artificial-intelligence learning system if the indication indicates not to maintain the control parameter values.

A medical imaging system comprises an operator terminal configured to obtain at least one image of a patient generated by a medical imaging device, receive one or more notes pertaining to the at least one image from an operator of the medical imaging device, store a clean set of images including the at least one image in at least one server, annotate the at least one image with the one or more notes to generate a set of annotated images; tag the set of annotated images as non-persistent, and store the set of annotated images in the at least one server; wherein the at least one server is configured to provide to a physician terminal both the clean set of images and the annotated set of images stored for the patient and automatically delete the one or more images tagged as non-persistent after review thereof by the physician.

An object information obtaining device includes a light source which emits light, an acoustic wave detecting unit which detects a photoacoustic wave generated by irradiation of an object with the light, and outputs an electric signal in response to detection of the photoacoustic wave, and a processing unit configured to perform two or more types of processing to photoacoustic signal data based on the electric signal to obtain object information corresponding to each of the two or more types of processing, and to display on a display unit the object information corresponding to at least one processing selected by a user out of the two or more types of processing.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

The present invention relates to an apparatus (10) for diagnostic image acquisition, comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to receive a data value relating to at least one biomarker in a measurement blood sample of a patient. The processing unit is configured to determine a time to acquire a diagnostic image of the patient, wherein the determination comprises utilization of the data value. The output unit is configured to output an indication of the time to acquire the diagnostic image of the patient.