首页|Patent Issued for Compressible adjunct for surgical stapler (USPTO 11998204)

Patent Issued for Compressible adjunct for surgical stapler (USPTO 11998204)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Bo udreaux, Chad P. (Cincinnati, OH, US), filed on October 29, 2021, was published online on June 4, 2024. The assignee for this patent, patent number 11998204, is Cilag GmbH Internationa l (Zug, Switzerland). Reporters obtained the following quote from the background information supplied by the inventors: "In some surgical settings, endoscopic surgical instruments ma y be preferred over traditional open surgical devices in order to make use of a smaller incision in the patient, which may reduce post-operative recovery time a nd complications. Some endoscopic surgical instruments may be suitable for place ment of a distal end effector at a desired surgical site through the cannula of a trocar. These distal end effectors may engage tissue in a number of ways to ac hieve a diagnostic or therapeutic effect (e.g., endocutter, grasper, cutter, sta pler, clip applier, access device, drug/gene therapy delivery device, and energy delivery device using ultrasound, RF, laser, etc.). Endoscopic surgical instrum ents may include a shaft between the end effector and a handle portion, which is manipulated by the clinician. Such a shaft may enable insertion to a desired de pth and rotation about the longitudinal axis of the shaft, thereby facilitating positioning of the end effector within the patient. Positioning of an end effect or may be further facilitated through inclusion of one or more articulation join ts or features, enabling the end effector to be selectively articulated or other wise deflected relative to the longitudinal axis of the shaft.

BusinessCilag GmbH InternationalEmer ging TechnologiesMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Jun.20)