The disclosure relates to a method for prognosis management based on medical information of a patient, a device, and a medium. The method includes acquiring, by a processor, medical information of the patient at a first time. The method further includes receiving the medical information of the patient at a first time. The method may further include predicting, by a processor, a progression condition of an object associated with the patient at a second time based on the acquired medical information of the first time. The progression condition is indicative of a prognosis risk, and the second time is after the first time. The method may also include outputting the predicted progression condition to an information management system. The method is helpful for users to understand the potential prognosis risk of the object at the second time to aid users in making treatment decisions.

A system and a method is disclosed for continuously identifying blood vessels in tissue during fluorescence imaging. Continuously measuring and assessing hemodynamics in tissue in medical procedures using fluorescence imaging may include the administration of the fluorescent agent that is controlled and automated and thereby identifying, mapping and visualizing blood vessels in the tissue. One embodiment relates a computer implemented method for identifying blood vessels in tissue of a subject, e.g. during a medical procedure, the method including the steps of continuously acquiring fluorescence images of the tissue wherein a fluorescent signal is oscillating with a predetermined pattern, and analysing the fluorescence images and the associated oscillating signal thereby continuously identifying blood vessels in the tissue.

A non-invasive method of evaluating blood cell measurement and a non-invasive blood cell measurement evaluating system are provided. The non-invasive method of evaluating blood cell measurement includes providing of a dialysis tubing image datum of a subject, performing an image preprocessing step, performing a model predicting step and performing a determining and classifying step. The non-invasive blood cell measurement evaluating system includes an image capturing device and a processor electrically connected to the image capture device.

Radiomic analysis of multiparametric magnetic resonance imaging (“MRI”) and magnetic resonance fingerprinting (“MRF”) data enhances delineation and mapping of tumor regions. Radiomic features are extracted from MRI and MRF tumor images. Distinct tumor regions, including but not limited to necrotic core, enhancing tumor, and peritumoral white matter, are segmented and mapped. Whole tumor as well as tumor region characteristics are evaluated. Tumors can also be differentiated and classified by pathology, grading, staging, and so on. Tumor infiltration into peritumoral white matter regions can also be mapped for recurrence prediction

Systems and methods for capturing and rendering light fields for head-mounted displays are disclosed. A mediated-reality visualization system includes a head-mounted display assembly comprising a frame configured to be mounted to a user's head and a display device coupled to the frame. An imaging assembly separate and spaced apart :from the head-mounted display assembly is configured to capture light-field data. A computing device in communication with the imaging assembly and the display device is configured to receive light-field data from the imaging assembly and render one or more virtual cameras. Images from the one or more virtual cameras are presented to a user via the display device.

A wearable device consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a single board computer, a power supply unit, a band fastener, and a set of watch adapters. The microbial biosensor detects, measures, and monitors beneficial microorganisms and pathogens in a nasal cavity, an oral cavity, or on a surface. The microbial biosensor sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air comprising beneficial microorganisms, pathogens, pollen grains, dust mite allergens, and an air quality index. The enviro sensor detects, monitors, and measures environmental conditions surrounding the user. A computing system comprises a wearable device, a microbiome mobile application, a user, a mobile device, a laboratory testing facility, a cloud server, and a physician.

Provided in the present invention are a magnetic resonance imaging system and method, and a computer-readable storage medium. The method comprises: performing a medical scan of a subject and acquiring a first medical image having a first noise interference artifact, and performing an additional scan of the subject to acquire a second medical image, wherein the second medical image has a second noise interference artifact, and the location mapping of the second noise interference artifact in the first medical image is symmetrical to the location of the first noise interference artifact relative to a pixel center of the first medical image; and performing synthesis-related processing on the first medical image and the second medical image to acquire a post-processed image with reduced noise interference artifacts.

Provided are a method and an apparatus for measuring an endolymphatic hydrops ratio of inner ear organs using an artificial neural network. The method of measuring an endolymphatic hydrops ratio includes obtaining a plurality of frame images obtained by capturing inner ear organs, obtaining a plurality of pieces of mask data corresponding to each of the plurality of frame images by inputting the plurality of frame images into a neural network, clustering the plurality of pieces of mask data according to the inner ear organs and obtaining representative images according to the inner ear organs according to certain conditions, and overlapping a target image synthesized by using the plurality of frame images and the representative images according to the inner ear organs so as to measure an endolymphatic hydrops ratio.

A computer-assisted imaging and localization system assists the physician in positioning surgical effecters, such as implants, tools and instruments, within a surgical site in a patient's body. The system displays overlapping images—one image of the surgical site with the patient's anatomy and another image showing the surgical effecter(s). The overlapping image of the surgical effecter(s) is moved over the static image of the anatomy as the implant/instrument is moved. The movement of the surgical effecter(s) is determined in a three-dimensional coordinate system at a home base location in the patient's anatomy, which home base can be moved during the procedure without interrupting the displays of the overlapping images.

Example methods and systems may be used intraoperatively to help surgeons perform accurate and replicable surgeries, such as knee arthroplasty surgeries. An example system combines real time measurement and tracking components with functionality to compile data collected by the hardware to register a bone of a patient, calculate an axis (e.g., mechanical axis) of the leg of the patient, assist a surgeon in placing cut guides, and verify a placement of an inserted prosthesis.