Provided herein are systems and methods for automated identification of volumes of interest in volumetric brain images using artificial intelligence (AI) enhanced imaging to diagnose and treat acute stroke. The methods can include receiving image data of a brain having header data and voxel values that represent an interruption in blood supply of the brain when imaged, extracting the header data from the image data, populating an array of cells with the voxel values, applying a segmenting analysis to the array to generate a segmented array, applying a morphological neighborhood analysis to the segmented array to generate a features relationship array, where the features relationship array includes features of interest in the brain indicative of stroke, identifying three-dimensional (3D) connected volumes of interest in the features relationship array, and generating output, for display at a user device, indicating the identified 3D volumes of interest.Measurement of infarcted brain volume from an acute ischemic stroke can prove difficult due to the various morphologies and complexities of brain lesions. These irregularities give inconsistencies with stroke detection and diagnosis. There is also a need for a biomarker involving cerebrovascular disease. The amount of data to gather, review, and interpret for a stroke is overwhelming, and current commercial neuroimaging stroke software such as RAPID-AI may not be effective for a rapid therapeutic response. A new artificial intelligience-based approach can provide quick and accurate predictions of infarcted tissue much faster than traditional CT scans. A process called semi-automatic image analysis will be used to visualize stroke volume. First, information will be extracted from brain images. That information is then repackaged as raw image data into MATLAB arrays for further image processing. From there, the program will detect potential volumes of ischemic stroke and intracerebral hemorrhage. The novel precise volumetric analysis and 3D-visualization will be used to allow for quicker therapeutic intervention. The program would ideally be used by physicians in hospitals.
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