Cilag International Gmbh

Ethicon, Gmbh

Chad E Eckert

Frederick E Shelton, IV

Jason L Harris

David C Yates

Kevin Michael Fiebig

Daniel J Mumaw

Chester O Baxter, Iii

Tamara S Widenhouse

Sarah Alexandra Worthington

Jordan B Wong

Michael J Vendely

Andrew C Deck

Jeffrey S Swayze

Taylor W Aronhalt

Jerome R Morgan

Gregory J Bakos

Chad Paul Boudreaux

Charles J Scheib

Jeffrey David Messerly

Mark S Zeiner

Christopher J Hess

Shane R Adams

Cory G Kimball

Morgan Robert Hunter

Joshua P Morgan

Benjamin D Dickerson

Brian D Black

Nicholas J Ross

Kristen G Denzinger

Mark H Ransick

Demetrius N Harris

Nicholas M Morgan

Jason R Lesko

Cortney E Henderson

Frederick L Estera

Jason M Rector

Benjamin M Boyd

William A Olson

Patrick Jarvis Scoggins

Ion V Nicolaescu

Matthew D Cowperthwait

Joseph Daniel Dennis, Jr

Ellen E Burkart

Amy M Krumm

John Matonick

Harald C Ott

Tyler N Brehm

Shannon L Jones

Monica L Zeckel

Amelia Pierce

Leonardo N Rossoni

Risto Kojcev

Madison K Vanosdoll

Charles C Klassen

William A Crawford

Ryan W McGhee

Grace E Waters

Felix J Bork

Brian J Hemmelgarn

Eric Stout

Larry A Pummill, Jr

John S Frazier

Andrèas N Ward

Monica LZ Rivard

Iii Chester O Baxter

Sarah W Worthington

Jr Larry A Pummill

Iv Frederick E Shelton

Amelia A Pierce

A staple cartridge assembly includes a cartridge body with a deck, a longitudinal slot defined in the deck, and staple cavities defined in the deck. The staple cartridge assembly includes staples removably stored in the staple cavities, wherein the staples are deployable from the staple cavities into tissue of a patient, and wherein the staples comprise substrates comprised of metal that degrades when exposed to a degradation source in the patient. The staple cartridge assembly includes an implantable adjunct, wherein the staples are configured to hold the implantable adjunct to the tissue, and wherein the implantable adjunct is configured to delay an initiation of the degradation of regions of the metal in contact with the implantable adjunct in the patient, and wherein the implantable adjunct is configured to modify a local environment surrounding the staples to control a degradation rate of the staples after the initial delay.

Cartridge assemblies with absorbable metal staples and absorbable implantable adjuncts

A computing system may predict a complication based on measurements of related biomarker(s) obtained via one or more sensing systems, and generate an adjustment of a surgical parameter associated with a surgery. The biomarker measurements may include pre-surgical and/or in-surgical measurements. The hemostasis-related biomarker(s) measured pre-surgery may include blood pressure, blood pH, edema, heart rate, blood perfusion rate, coagulation status and/or the like. Based on the prediction, the computing system may generate a control signal configured to alter a matter in which a surgical cutting and stapling device and/or a surgical energy operate, to adjust a surgical procedure plan, to adjust to a surgical instrument selection, indicate a probability of the hemostasis complication, and/or to indicate a suggested adjustment to surgical procedure plan, surgical approach, and/or surgical instrument selection.

Prediction of hemostasis issues based on biomarker monitoring

A surgical system comprising a surgical instrument and a surgical hub is disclosed. The surgical instrument is configured to perform a surgical procedure and comprises a housing, a shaft assembly, an end effector, and a sensor configured to sense a parameter associated with a function of the surgical instrument. The surgical hub comprises a processor and a memory. The memory stores instructions executable by the processor to receive data from the sensor, wherein the data comprises the parameter associated with the function of the surgical instrument; infer a step of the surgical procedure being performed by the surgical instrument, based on the data from the sensor; receive data from a database, wherein the data from the database is associated with the step of the surgical procedure; compare a value of the parameter to the data received from the database; and control the surgical instrument based on the comparison.

Surgical system having a surgical instrument controlled based on comparison of sensor and database data

Devices, systems, and methods are provided in which movement of a tool is controlled based on sensed parameters. In one embodiment, an electromechanical tool is provided having an instrument shaft and an end effector formed thereon. The electromechanical tool is configured to be mounted on an electromechanical arm, and the electromechanical tool is configured to move with or relative to the electromechanical arm and perform surgical functions. A controller is operatively coupled to the electromechanical arm and the electromechanical tool and is configured to retard advancement of the electromechanical tool toward a tissue surface based on a sensed amount of displacement of a tissue surface, a strain on the tissue of the patient, the temperature of the electromechanical tool, or the like.

Surgical tool positioning based on sensed parameters

A surgical computing system may receive usage data associated with movement of a surgical instrument and user inputs to the surgical instrument. The surgical computing system may receive motion and biomarker sensor data from sensing systems applied to the operator of the surgical instrument. The surgical computing system may determine, based on at least one of the usage data and/or the sensor data, a control feature for implementation by the surgical instrument. The surgical computing system may communicate the determined control feature(s) to the surgical instrument. The surgical instrument may modify its operation based on the control features.

Adaptable surgical instrument control

A surgical instrument includes an end effector having a first jaw, a second jaw movable relative to the first jaw to grasp tissue therebetween, an anvil, a staple cartridge comprising staples deployable into the tissue, wherein the staples are deformable by the anvil, and a sensor configured to provide a sensor signal according to a physiological parameter of the tissue. The surgical instrument further includes a control circuit coupled to the sensor, wherein the control circuit is configured to receive the sensor signal, and assess proximity of the sensor to cancerous tissue based on the sensor signal.

Systems for detecting proximity of surgical end effector to cancerous tissue

A surgical system for use in a surgical procedure is disclosed. The surgical system includes a surgical instrument including an end effector configured to treat tissue at a surgical field during the surgical procedure, a surgical visualization system configured to track the surgical instrument in the surgical field, and a control circuit configured to derive a first data set from the surgical visualization system indicative of a visual aspect of the surgical instrument relative to the surgical field, derive a second data set from the surgical instrument indicative of a functional aspect of the surgical instrument, and correlate the first data set with the second data set.

Surgical systems correlating visualization data and powered surgical instrument data

A surgical stapling instrument includes an end effector that has a first jaw; a second jaw movable relative to the first jaw between an open configuration and a closed configuration to grasp tissue between the first jaw and the second jaw; an anvil; and a staple cartridge with staples deployable into the tissue and deformable by the anvil. The surgical stapling instrument further includes a control circuit configured to: determine tissue impedances at predetermined zones; detect an irregularity in tissue distribution within the end effector based on the tissue impedances; and adjust a closure parameter of the end effector in accordance with the irregularity.

Surgical systems for detecting end effector tissue distribution irregularities

Examples herein may include a computer-implemented method for providing outcome tracking of a plurality of patients, which may include generating a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset may represent the expected values of a patient biomarker over the duration of the patient's recovery. The computer implementing method may include receiving respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients. The method may include aggregating the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients. The method may include determining differences between the respective expected patient biomarker data and the respective actual patient biomarker data. The method may include generating a treatment notification based on the differences.

Patient biomarker monitoring with outcomes to monitor overall healthcare delivery

A method for generating and updating a three-dimensional representation of a surgical site based on imaging data from an imaging system is disclosed. The method comprises the steps of generating a first image of the surgical site based on structured electromagnetic radiation emitted from the imaging system, receiving a second image of the surgical site, aligning the first image and the second image, generating a three-dimensional representation of the surgical site based on the first image and the second image as aligned, displaying the three-dimensional representation on a display screen, receiving a user selection to manipulate the three-dimensional representation, and updating the three-dimensional representation as displayed on the display screen from a first state to a second state according to the received user selection.

Surgical hub for use with a surgical system in a surgical procedure

Various cartridge assemblies for surgical instruments are provided. Cartridge assemblies can include active sensors for applying stimuli to a tissue clamped by an end effector of the surgical instrument and a circuit configured to determine a tissue type of the tissue according to a change in the tissue parameter detected by the sensor resulting from a stimulus from the active element. Cartridge assemblies can also include physical features and/or stored data that identify the cartridge. Surgical instruments further can be configured to resolve conflicts when the physical features and/or stored data are not consistent with each other in their identification of the cartridge type.

Surgical instrument cartridge sensor assemblies

A surgical staple cartridge is disclosed comprising a plurality of staples removably stored within the surgical staple cartridge. The staples comprise staple legs which extend from a staple base portion. The staple legs comprise staple tips configured to pierce tissue and contact a corresponding forming pocket of an anvil of surgical stapling instrument. The staples further comprise zones having different hardnesses.

Surgical staples comprising hardness variations for improved fastening of tissue

An electrosurgical system comprising an end effector and a control circuit is disclosed. The end effector comprises a first jaw and a second jaw. At least one of the first jaw and the second jaw is movable to transition the end effector from an open configuration to a closed configuration to grasp tissue therebetween. The control circuit is configured to cause an application of two different energy modalities to the tissue simultaneously and separately during a tissue treatment cycle comprising a tissue coagulation stage and a tissue transection stage.

Electrosurgical instrument for delivering blended energy modalities to tissue

Tissue irregularity complication(s) may be predicted based on biomarker measurements obtained before a surgery and/or during the surgery via one or more sensing systems. For example, a computing system may monitor the patient biomarker(s) including tissue perfusion pressure, lactate, oxygen saturation, VO2Max, respiration rate, autonomic tone, sweat rate, heart rate variability, skin conductance, GI motility, edema and/or hydration state. Based on the prediction, the computing system may generate a control signal configured to alter a matter in which a surgical cutting and stapling device and/or a surgical energy operate, to adjust a surgical procedure plan, to adjust a surgical instrument selection, indicate a probability of the tissue irregularity complication, and/or to indicate a suggested adjustment to surgical procedure plan, surgical approach, and/or surgical instrument selection.

Prediction of tissue irregularities based on biomarker monitoring

A surgical system comprising a surgical hub, a surgical instrument, a generator configured to energize an end effector; and a smoke evacuation system configured to remove smoke from a surgical site is disclosed. The surgical instrument comprises the end effector. A control command is passed directly from the surgical hub to the surgical instrument. The surgical instrument is configured to pass the control command received from the surgical hub to the generator and the smoke evacuation system in a daisy-chain manner.

Surgical system communication pathways

Growing community of inventors

Milford, OH, United States of America

Chad E Eckert