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1. A method for adjusting an operation of a clip applier using machine learning using a surgical hub in a surgical suite, wherein said method comprises:
storing, by the clip applier, a control algorithm that controls an operation of a crimping drive of the clip applier to perform a crimping stroke to crimp a clip around a tissue of a patient;
receiving, by the clip applier and from the surgical hub, data gathered during a prior surgical procedure and indicative of properties of the tissue of the patient, wherein the prior surgical procedure included the use of the clip applier, and wherein the properties of the patient tissue were determined based on a force required to deform the clip from a first deformed configuration to a second deformed configuration while performing the crimping stroke during the prior surgical procedure;
analyzing, by the clip applier, the gathered data to determine an appropriate operational adjustment of the control algorithm of the clip applier; and
modifying, by the clip applier and based on the operational adjustment, the control algorithm to adjust operation of the clip applier.
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