Abstract: Various implementations include a method of applying a surgery reference marker to skin of a patient. The method includes providing a medical scanner having at least one positioning laser; disposing the patient in a desired position relative to the medical scanner such that the at least one positioning laser illuminates a portion of the skin of the patient; disposing a temporary tattoo on the portion of the skin of the patient, the temporary tattoo having at least one positioning indicator configured to be applied to the skin of the patient, wherein the temporary tattoo is disposed such that the at least one positioning indicator indicates a position of the at least one positioning laser; and applying the temporary tattoo such that the at least one positioning indicator is transferred to the skin of the patient.

Abstract: A computer implemented bidding method for use in bidding on auction items that allows for a desired optimization of bid amounts. The method includes selecting a set of one or more biddable items offered at auction wherein for a biddable item the auction offers a ranking for one or more received bids according to bid amounts, determining the current bids for a set of the biddable items, determining a bid amount for a selected biddable item based on a given utility function to determine a set of rankings for achieving a desired optimized outcome from the bidding, and submitting a set of bid amounts.

Abstract: Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.

Abstract: Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.

Abstract: The present invention provides a “Keyword Automated Bidding System” which, among other things, provides an intelligent system for bidders for a ranking in web search results list to determine bids and bidding strategies that maximize return on bid investments and help direct allocation of available funds for bids to keywords that lead to more optimal returns. In one possible embodiment, the present invention is designed to generate a scalable solution to the problem of selecting the proper set of keywords to bid and the proper values of such bids for thousands of keywords on third party sites such as Overture and Google.com. The satisficed solution is generated according to operator-defined model constraints and utility functions. In one embodiment, KABS maximizes profit by maximizing the Margin Rate to a bidder which is the difference in the aggregate Revenue per Redirect (RPR) from the merchants and the Cost per Click (CPC) we must pay the traffic source.