Efficient artificial intelligence analysis of images with combined predictive modeling
A system, an image analyzer and a method for diagnosing a presence of a disease or a condition in an image of a subject, for example, a veterinary patient, are provided including: classifying the image to a body region, and obtaining a classified, labeled, cropped, and oriented sub-image; directing...
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| creator | TENG, Yuan-Ching Spencer WALLACK, Seth SREETHARAN, Pratheev Sabaratnam VENEGAS, Ruben OMONTE, Ariel Ayaviri |
| description | A system, an image analyzer and a method for diagnosing a presence of a disease or a condition in an image of a subject, for example, a veterinary patient, are provided including: classifying the image to a body region, and obtaining a classified, labeled, cropped, and oriented sub-image; directing the sub-image to artificial intelligence processor for obtaining an evaluation result, and comparing the evaluation result to a database library of evaluation results and matched written templates or a dataset cluster to obtain at least one cluster result; measuring the distance between the cluster result and the evaluation result to obtain at least one cluster diagnosis; and assembling the cluster diagnosis and the matched written templates to obtain a report to display the report to a radiologist. These system, analyzer and method are achieved in greatly reduced lengths of time and are useful for cost and time savings. |
| format | Patent |
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| subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS HANDLING RECORD CARRIERS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURGERY |
| title | Efficient artificial intelligence analysis of images with combined predictive modeling |
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