Abstract: A method for improved disease monitoring is disclosed. The method includes receiving image data from an image sensor configured for monitoring a hypothesis disease in a patient. Additional data is received from one or more additional sensors configured to monitor one or more factors related to disease activity of the patient. The received image data is fused with the received additional data from the one or more additional sensors to generate fused data set. A disease condition for the patient is determined based on the fused data set. A disease monitoring computing device and non-transitory medium are also disclosed.

Abstract: Methods, non-transitory computer readable media, and surgical video analysis devices are disclosed that provide an improved, automated surgical report generation. With this technology, a video associated with a surgical procedure comprising a plurality of frames is obtained. The plurality of frames of the obtained video are compared to a historical set of surgical procedure images, wherein the historical set of surgical procedure images are associated with contextual information. One or more objects of interest are identified in at least a subset of the plurality of frames based on the comparison and the associated contextual information. The identified one or more objects of interest are tracked across the at least the subset of the plurality of frames. A surgical report based on tracked one or more objects.

Abstract: Systems and methods of detecting and monitoring edema in a subject are described. The systems and methods include light sources, image detectors, filters, and processors that determine whether a subject has edema and the degree of severity. In some embodiments, the processor fuses data from more than one imaging modality.

Abstract: Raman molecular imaging is used to differentiate between normal and diseased cells or tissue. For instance benign and malignant lesions of bladder and other tissues can be distinguished, including epithelial tissues such as lung, prostate, kidney, breast, and colon, and non-epithelial tissues, such as bone marrow and brain. Raman scattering data relevant to the disease state of cells or tissue can be combined with visual image data to produce hybrid images which depict both a magnified view of the cellular structures and information relating to the disease state of the individual cells in the field of view.

Abstract: A system and method of correlating Raman measurements with digital images of a treated sample to classify the disease state of the sample. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. Information about the field of view is stored. The sample is removed from the field of view and treated. The treated sample is repositioned in the field of view using the stored information. A digital image of the treated sample is obtained and the spectroscopic data set is linked with the digital image. A database is provided having a plurality of spectroscopic data sets. Each data set is linked to a corresponding digital image, and associated with the known sample. Each corresponding digital image is associated with the known treated samples. The database is searched to identify and match a data set of a known sample and the sample.

Abstract: The invention relates to methods and devices for assessing one or more blood components in an animal. The present invention permits non-invasive assessment of blood components in a body structure containing blood and other tissue types by assessing multiple regions of a tissue surface for an optical characteristic of blood and separately assessing one or more optical (e.g., Raman or NIR) characteristics of the blood component for one or more regions that exhibit the optical characteristic of blood.