A knife limit for a surgical instrument includes a housing having a shaft extending therefrom configured to support an end effector at a distal end thereof, the end effector including first and second jaw members. One or both of the jaw members including a knife channel defined therein and extending therealong to a distal portion thereof. A knife assembly is disposed within the housing and cooperates with a trigger to translate a knife within the knife channel to the distal portion of the jaw member upon actuation thereof. A knife limit button is disposed within the housing and is configured to limit the distal translation of the knife within the knife channel upon selective actuation thereof. The knife limit button is movable between a first position allowing full translation of the knife within the knife channel and a second position limiting distal translation of the knife within the knife channel.

A surgical system includes an end effector assembly having first and second jaw members, a generator, and one or more machine learning applications. The first and/or second jaw member is movable relative to the other from a spaced-apart position to an approximated position for grasping tissue therebetween. The jaw members are configured to conduct energy therebetween and through tissue grasped therebetween. The generator includes an energy output configured to supply energy to the jaw members, a main controller configured to control the energy output, and sensor circuitry configured to sense impedance and/or power. The machine learning application(s) is configured to determine a type of tissue grasped between the first and second jaw members based upon the impedance and/or power sensed by the sensor circuitry.

A method and system for artificial intelligence-based radiofrequency ablation parameter optimization and information synthesis are provided. The method is applied to a radiofrequency ablation controller including a processor and an artificial intelligence module. The processor of the radiofrequency ablation controller preprocesses sample data and sends the preprocessed sample data to the artificial intelligence module. The artificial intelligence module establishes an artificial neural network model according to the preprocessed sample data and a radiofrequency ablation control parameter for the sample data. The processor preprocesses signals collected by sensors on a plasma wand. The artificial intelligence module imports preprocessed sensor data into the artificial neural network model for analysis and fusion, to obtain the radiofrequency ablation control parameter.

Disclosed are systems and techniques for providing laser treatment. For example, a vasculature structure associated with a tissue region can be determined. Based on the vasculature structure, one or more laser parameters for configuring a laser to deliver laser energy to at least one blood vessel within the tissue region can be determined. Laser energy can be delivered to the at least one blood vessel to halt blood flow to a targeted area within the tissue region.

A suction or other component of an endoscope system may be cycled on and off or otherwise controlled without requiring direct user input, such as automatically or semi-automatically using a current or historical state of a laser generator, a blurriness or other information from an image of the working area, a count of fragments of a calculi stone, an intraoperative pressure, an intraoperative temperature, or one or more other characteristics of the laser generator or the targeted calculi stone.

A laser can be controlled based on different tissue compositions, such as in real time. After a first time period, a first composition of a in vivo target site can be identified. Based on the first composition, a plurality of lasers can be controlled to emit light at a first wavelength where controlling includes activating a first combination of the plurality of lasers. After a second time period, a second composition of the in vivo target site different from the first composition can be identified. Based on the second composition, a plurality of lasers can be controlled to emit light at a second wavelength, such as can include activating a second combination of the plurality of lasers. The first combination of the plurality of lasers can be different from the second combination of the plurality of lasers.

A method for determining a characteristic of material at a target is provided. A target is illuminated with a pulsed light source. A fluorescence signal from the target when the pulsed light source is an “off” state is then sensed. Based on analysis of the fluorescence signal, a characteristic of material at the target is identified. A device can then be controlled based on the identified characteristic of the material at the target.

The present invention relates to comprehensive systems, devices and methods for delivering energy to tissue for a wide variety of applications, including medical procedures (e.g., tissue ablation, resection, cautery, vascular thrombosis, treatment of cardiac arrhythmias and dysrhythmias, electrosurgery, tissue harvest, etc.). In certain embodiments, systems, devices, and methods are provided for treating a tissue region (e.g., a tumor) through application of energy.

Transducer-based systems can be configured to display a graphical representation of a transducer-based device, the graphical representation including graphical elements corresponding to transducers of the transducer-based device, and also including between graphical elements respectively associated with a set of the transducers and respectively associated with a region of space between the transducers of the transducer-based device. Selection of graphical elements and/or between graphical elements can cause activation of the set of transducers associated with the selected elements. Selection of a plurality of graphical elements and/or between graphical elements can cause visual display of a corresponding activation path in the graphical representation. Visual characteristics of graphical elements and between graphical elements can change based on an activation-status of the corresponding transducers. Activation requests for a set of transducers can be denied if it is determined that a transducer in the set of transducers is unacceptable for activation.

A system for performing robotic laser surgery is disclosed. The system comprises at least one surgery equipment, a surgeon terminal, and a communication module. Further, the system includes a surgical computer communicatively coupled to the at least one surgery equipment via the communication module. The surgical computer is configured to transfer data between the surgeon terminal and the at least one surgery equipment. The surgeon terminal is configured to modulate the tunable laser to conduct the surgical procedure in fully autonomous mode or semi-autonomous mode using robot controls. Further, a plurality of sensors is used to real-time data while performing surgical procedure and transmit the real-time data to the surgeon terminal.