Abstract: Techniques are described herein for providing data attribution based on spatial memory using a machine learning pipeline. The techniques include receiving, from a client device, an image of an object, wherein the image appended with object-specific data. The techniques further include extracting one or more features of the object from the object-specific data. The features may be included in a product catalog from one or more data sources. Based at least on one or more features associated with the object, a suggested category for the image is determined and associated with the image. The suggested category and the image may be used to train a machine learning model via a machine learning classification algorithm to predict a label for the image. The machine learning model is applied to assign the label to the image based at least on the suggested category.

Abstract: A method includes obtaining, by a processor, an image of a patient using an imaging device, presenting the image of the patient on a display, and selecting one or more medical procedures to apply to the patient. The method further includes generating a modified image of the patient by applying the one or more medical procedures and the image of the patient as input to a machine learning model trained to output the modified image of the patient. The modified image of the patient includes one or more body region representations of the patient that are modified due to application of the one or more medical procedures to the image of the patient. The method also includes presenting the modified image of the patient on the display.

Abstract: An electronic device including a computing system is provided. The computing system includes a memory and at least one processor. The computing system is configured to receive a selection of one or more preferences for wearable articles. The computing system is also configured to receive a selection of a first wearable article of a first article type displayed on a display screen. The computing system is further configured to identify one or more additional wearable articles each having a different article type from the first article type. In addition, the computing system is configured to generate for display on the display screen a second wearable article of a second article type from the one or more additional wearable articles based on at least one preference of the one or more preferences.

Abstract: A method includes obtaining, by a processor, an image of a patient using an imaging device, presenting the image of the patient on a display, and selecting one or more medical procedures to apply to the patient. The method further includes generating a modified image of the patient by applying the one or more medical procedures and the image of the patient as input to a machine learning model trained to output the modified image of the patient. The modified image of the patient includes one or more body region representations of the patient that are modified due to application of the one or more medical procedures to the image of the patient. The method also includes presenting the modified image of the patient on the display.

Abstract: An electronic device including a computing system is provided. The computing system includes a memory and at least one processor. The computing system is configured to receive a selection of one or more preferences for wearable articles. The computing system is also configured to receive a selection of a first wearable article of a first article type displayed on a display screen. The computing system is further configured to identify one or more additional wearable articles each having a different article type from the first article type. In addition, the computing system is configured to generate for display on the display screen a second wearable article of a second article type from the one or more additional wearable articles based on at least one preference of the one or more preferences.