Described here are systems, devices, and methods for providing remote manipulation or traction to tissue using one or more graspers, delivery devices, and magnetic control assemblies. The graspers may be configured for insertion into the patient during a minimally-invasive procedure, such as a laparoscopic operation. The graspers may be configured to releasably connect to tissue. In some embodiments, the grasper may comprise a clip, a clamp, a suction device, a coil, or the like, and may be configured to connect to any suitable tissue. Delivery devices may be configured to releasably engage a grasper to deliver the grasper, remove it from the patient, or reposition it. The delivery devices may additionally be configured to actuate the grasper to attach it to tissue and/or detach it from tissue. The magnetic control elements may be configured to be positioned externally of the body to move, reposition, and/or hold the grasper.

Surgical tools that are capable of both manipulating a needle and cutting surgical thread during a suturing operation can sometimes be problematic due to inadvertent severing of the surgical thread. Surgical tools capable of exposing a bladed cutting surface only when severing of surgical thread is desired can substantially alleviate this issue. Such surgical tools may comprise an end effector comprising an end effector axle, a first jaw and a second jaw rotatably mounted to the end effector axle, and a first cutting body having a first blade and second cutting body having a second blade. The first cutting body is configured to move in tandem with the first jaw and the second cutting body is configured to move in tandem with the second jaw, such that the first and second blades are occluded when the first and second jaws are closed or partially opened.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.

A biopsy device may include a first jaw having a first distal tip configured to pierce tissue, and a second jaw movable relative to the first jaw between a closed configuration where the first jaw and the second jaw are axially aligned, and an open configuration where the first jaw and the second jaw are offset from one another, the second jaw having a second distal tip proximal to the first distal tip in the closed configuration.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.

A surgical stitching device includes a suture needle configured to reliably pass through a typically thick scarred tissue present along, e.g., an edge of midline hernias. The surgical stitching device includes first and second jaws. The suture needle is selectively supported on the first or second jaws at, e.g., an acute, angle with respect to a longitudinal axis defined by the corresponding first or second jaw. The suture needle may be selectively secured with the first or second jaw by first and second needle receiving blades configured for reciprocating axial displacement. A suture is connected to the suture needle to perform suturing of tissue.

A method of engaging tissue is provided. The method includes: providing a forceps including a housing, a first jaw and a second jaw slidably and pivotably connected to a distal portion of the housing, and a driver; advancing the forceps in a closed configuration through a body lumen until the forceps are near a target tissue site; moving the driver in a distal direction relative to the housing to move the first and second jaws to an open configuration; positioning the first and second jaws adjacent to the target tissue site; and securing a tissue sample within the first and second jaws by moving the driver in a proximal direction relative to the housing to rotate the first and second jaws relative to the housing from the open configuration towards the closed configuration, which also moves the first and second jaws longitudinally in a proximal direction.

A method for adjusting the operation of a clip applier using machine learning in a surgical suite is disclosed. The method comprises gathering data during surgical procedures, wherein the surgical procedures include the use of a clip applier comprising a crimping drive configured to be mechanically advanced through a crimping stroke. The method further comprises analyzing the gathered data to determine an appropriate operational adjustment of the clip applier and adjusting the operation of the clip applier to improve the operation of the clip applier.

Surgical tools that are capable of both manipulating a needle and cutting surgical thread during a suturing operation can sometimes be problematic due to inadvertent severing of the surgical thread. Surgical tools capable of exposing a bladed cutting surface only when severing of surgical thread is desired can substantially alleviate this issue. Such surgical tools may comprise an end effector comprising an end effector axle, a first jaw and a second jaw rotatably mounted to the end effector axle, and a first cutting body having a first blade and second cutting body having a second blade. The first cutting body is configured to move in tandem with the first jaw and the second cutting body is configured to move in tandem with the second jaw, such that the first and second blades are occluded when the first and second jaws are closed or partially opened.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.