Abstract: A method includes receiving information associated with a drug product, the information comprising a plurality of characteristics; filtering the information based on at least one of the plurality of characteristics to identify one of a plurality of artificial intelligence engines; and predicting, using the one of the plurality of artificial intelligence engines that was identified, a National Drug Code (NDC) for the drug product or verifying, using the one of the plurality of intelligence engines that was identified, whether the drug product matches a target drug product.

Abstract: A method includes receiving a drug product package containing one or more drug products therein; evaluating the one or more drug products contained in the drug product package based on a plurality of drug product evaluation factors, the plurality of drug product evaluation factors including an enhanced scrutiny factor; assigning a validation score to the drug product package based on evaluating the one or more drug products contained in the drug product package, a magnitude of the validation score being greater with decreasing patient risk; and validating the drug product package.

Abstract: A method includes receiving an image of a drug product package that contains one or more drug products therein; detecting, using an artificial intelligence engine, characteristics of the image that are associated with a drug product packaging system; and generating a modified image of the drug product package based on characteristics of the drug product packaging system.

Abstract: A method includes receiving an image of a drug product package that contains one or more drug products therein, the image including labeling content displayed on a surface thereof; detecting, using an artificial intelligence engine, the labeling content on the surface of the drug product package; and generating a modified image of the drug product package that has the labeling content removed from surface thereof.