Abstract: Systems and methods for processing digital medical images to infer metadata from those images are disclosed. In some aspects, digital medical images may be processed to infer metadata by receiving a plurality of digital medical images, receiving a prompt, the prompt being a request for a specific type of metadata to be inferred from the plurality of digital medical images, determining, using a trained foundation model, at least one feature descriptor from the plurality of digital medical images based on the prompt, and providing for output the at least one feature descriptor for each of the plurality of digital medical images.

Abstract: A disclosed apparatus and method provide recommendations for products which a customer may need to order and/or items which the customer may have forgotten to order. An exemplary recommendation unit can communicate with a product information database, a product similarity database, a customer purchase history database and a customer order database. The recommendation unit includes a determining unit to store a determined similarity of products in the product similarity database, a training unit to train a model based on information about products previously purchased by each customer and information about at least one determined similarity as stored in the product similarity database, a similarity unit to generate at least one product similar to at least one product to be purchased by a customer based on information about a current order of a customer, and a calculating unit to calculate a probability that a customer forgot to add a similar product.