Abstract: For intraoperative guidance to an object, a machine-learned model is used to predict the intra-operative location of an object identified in pre-operative planning. The predicted location is used by the surgeon or controller during the operation, such as during a bronchoscopy.

Abstract: For anatomy measurement in a surgical system, a machine-learned model is used to determine the location or length. For example, in RYGB, the machine-learned model indicates how much of the bowel has been pulled or run. As another RYGB example, the machine-learned model indicates a length along the bowel to a current location. In yet another RYGB example, the machine-learned model indicates a location for incision based on a desired length. Using an image or images, such as a video stream from an endoscope, the artificial intelligence provides the measurement, avoiding running with estimated steps size or use an inserted ruler.

Abstract: A three-dimensional computer infrastructure cooling system is provided. The three-dimensional computer infrastructure cooling system includes at least one compute, storage, or communications brick. In addition, the three-dimensional computer infrastructure cooling system includes at least one coldrail to facilitate the removal of heat from the at least one compute, storage, or communications brick. Also, the three-dimensional computer infrastructure includes a brick-internal carrier within the at least one compute, storage, communications brick, wherein the brick-internal carrier is attached to the at least one coldrail. Moreover, the three-dimensional computer infrastructure includes a power dissipating electronic element within the at-least-one compute, storage, or communications brick, wherein the power dissipating element is attached to the brick-internal carrier.