A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object. A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.

There is provided a medical observation apparatus including: a determination unit which determines an apparatus to be used based on a captured image for medical use captured by an imaging device; and a display control unit which causes a related image for medical use corresponding to the determined apparatus and the captured image for medical use to be displayed.

According to one embodiment, a medical information processing apparatus has processing circuitry. The processing circuitry acquires medical data on a subject, acquires numerical data obtained by digitizing an acquisition condition of the medical data, and applies a machine learning model to input data including the numerical data and the medical data, thereby generating output data based on the medical data.

A method for analyzing neuropharmacology of a drug, including the steps of providing a set of brain activity maps representing changes of a brain activity of a living species under an influence of a plurality of known drugs each consisting of a known chemical structure; clustering the set of brain activity maps to form a plurality of functional classifiers; and classifying a brain activity map associated with a chemical compound using the functional classifiers so as to predict a neuropharmacology of the chemical compound.

Examples of the present disclosure describe systems and methods for implementing real-time artificial intelligence (AI) for physical biopsy marker detection. In aspects, the physical characteristics for one or more biopsy site markers may be used to train an AI component of an ultrasound system. The trained AI may be configured to identify deployed markers. When information relating to the characteristics of a deployed marker is input into the ultrasound system, the trained AI may process the received information to create one or more estimated images of the marker, or identify echogenic properties of the marker. During an ultrasound of the site comprising the deployed marker, the AI may use the estimated images and/or identified properties to detect the shape and location of the deployed marker.

A surgical visualization feedback system is disclosed. The surgical visualization feedback system comprises an emitter assembly configured to emit electromagnetic radiation toward an anatomical structure. The emitter assembly comprises a structured light emitter configured to emit a structured light pattern on a surface of the anatomical structure and a spectral light emitter configured to emit spectral light capable of penetrating the anatomical structure. The surgical visualization feedback system further comprises a waveform sensor assembly configured to detect reflected electromagnetic radiation corresponding to the emitted electromagnetic radiation and a control circuit in signal communication with the waveform sensor assembly. The control circuit is configured to receive an input corresponding to a selected surgical procedure, determine an identity of a targeted structure within the anatomical structure based on the selected surgical procedure and the reflected electromagnetic radiation, and confirm the determined identity of the targeted structure through a user input.

The present invention provides an analysis and method of quantifying the severity of skin diseases through the skin exhibited entropy. Quantitative analysis and evaluation of skin is a new, non-invasive, quick, and reproducible method of assessing skin disease and skin disease progression. The quantitative analysis of the skin disease applies a entropy algorithm to quantify the severity of the disease and compared to healthy skin. The method is applied in determination of the severity of the skin disease or applied to determine the effectiveness of the subsequent treatment modalities. It is highly reproducible and removes physician's own bias and past experience.

A visible-light-image physiological monitoring system with thermal detecting assistance is disclosed. The system takes a visible-light image and a thermal image of a body at the same time. A processing unit identifies a body feature of the visible-light image and determines a coordinate of the feature. In a learning mode, an initial temperature of the body feature is determined from the thermal image according to the coordinate of the body feature. After then, a physiological status monitoring mode is executed to monitor the temperature changes of the body feature and output an alarm when the temperature is determined to be abnormal. Therefore, a monitoring accuracy of the visible-light-image physiological monitoring system is increased and avoids transmitting false alarms or no alarms.

Moreover, it is conceivable to support more advanced procedures by connecting a medical imaging device to a server and performing signal processing on the server.

According to an embodiment of the present disclosure, a medical information control system is provided in which an operation server includes a plurality of virtual shared buffers to which a first medical application installed in a first container virtual area and a second medical application installed in a second container virtual area are accessible, and a control application, and the control application controls the first medical application or the second medical application to alternately use a first virtual memory area, a second virtual memory area, and a third virtual memory area for write of the first medical application and read of the second medical application.

A system, method, and apparatus for guiding an astigmatism correction procedure on an eye of a patient are disclosed. An example apparatus includes a photosensor configured to record a pre-operative still image of an ocular target surgical site of the patient. The apparatus also includes a real-time, multidimensional visualization module configured to produce a real-time multidimensional visualization of the ocular target surgical site during an astigmatism correction procedure. The apparatus further includes a data processor configured to determine a virtual indicium that includes data for guiding the astigmatism correction procedure. The data processor uses the pre-operative still image to align the virtual indicium with the multidimensional visualization such that the virtual indicium is rotationally accurate. The data processor then displays the multidimensional visualization of the ocular target surgical site in conjunction with the virtual indicium.