Abstract: The invention provides artificial intelligence-enabled image recognition methods and systems for continuously training a computer system to accurately identify a surgical item in a tray using at least 100 randomly created 2-dimensional images of a 3-dimensional synthetic item having unique identifiers assigned to the images or item. The invention also provides an artificial intelligence-enabled image recognition method and system for use to determine whether surgical instruments are present or missing on a surgical tray, and, if applicable, identifying those missing. In one aspect, a server receives an image and analyzes the image with a deep convolutional neural network to classify the type of tray and then compares a list of items that should be on the tray to that which the computer recognizes on the tray to generate an output displayed to a user identifying the items present and/or missing.

Abstract: The invention provides artificial intelligence-enabled image recognition methods and systems for continuously training a computer system to accurately identify a surgical item in a tray using at least 100 randomly created 2-dimensional images of a 3-dimensional synthetic item having unique identifiers assigned to the images or item. The invention also provides an artificial intelligence-enabled image recognition method and system for use to determine whether surgical instruments are present or missing on a surgical tray, and, if applicable, identifying those missing. In one aspect, a server receives an image and analyzes the image with a deep convolutional neural network to classify the type of tray and then compares a list of items that should be on the tray to that which the computer recognizes on the tray to generate an output displayed to a user identifying the items present and/or missing.