Abstract: An electrosurgical generator is disclosed. The electrosurgical generator includes device terminals including an active terminal and a return terminal and a controller. The controller generates a radiofrequency (RF) energy signal for delivery to the active terminal, measures an electrical impedance between device terminals and a phase angle of the RF energy signal while the RF energy signal is applied to the active terminal, determines at least one of a sustained change in electrical impedance, a change in electrical impedance via an impedance slope, and a change in phase angle change, and generates an indication of tissue crossing based on the determined change of the electrical impedance or the phase angle.

Abstract: A radiofrequency (RF) generator for use in a tissue puncture system for puncturing a tissue in a body is disclosed. The RF generator includes an RF energy source to couple to an active electrode of an RF puncture device and to couple to a return electrode and a controller coupled to the RF energy source. The controller causes the RF energy source to generate each of a puncture signal and a test signal, the test signal having a lower power than the puncture signal, measures an impedance of the test signal, determine a state of the active electrode based on the impedance measurement, and displays the state on a display device.

Abstract: Systems and methods for self-supervised feature disentanglement for calibration-free multi-camera multi-object tracking. View-specific features and view-agnostic features of a tracked entity can be identified from different camera views by encoding masked detection features of the tracked entity. The masked detection features can be reconstructed into single-view feature representations from the view-specific features. Cross-view feature representations can be generated from the view-agnostic features that capture shared characteristics from the different camera views. The single-view feature representations and the cross-view feature representations can be combined into multi-entity multi-camera tracks that capture the characteristics of the tracked entity from the different camera views for downstream tasks.

Abstract: An electrosurgical unit for use with a crossing member is disclosed. The electrosurgical unit includes a controller and device terminals. The device terminals include an active terminal and a measurement terminal. The device terminals couple to the crossing member. The controller generates a radiofrequency (RF) energy signal that is delivered to the active terminal. The RF energy signal is configured to cross tissue. The controller also determines whether the crossing member has crossed the tissue via a determined change in a response to a measurement signal received at the measurement terminal and generates an indication of tissue crossing based on the determined change in the response to the measurement signal.

Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

Abstract: Methods and systems for training a model include performing spatial augmentation on an unlabeled input video to generate spatially augmented video. Temporal augmentation is performed on the input video to generate temporally augmented video. Predictions are generated, using a model that was pre-trained on a labeled dataset, for the unlabeled input video, the spatially augmented video, and the temporally augmented video. Parameters of the model are adapted using the predictions while enforcing temporal consistency, temporal consistency, and historical consistency. The model may be used for action recognition in a healthcare context, with recognition results being used for determining whether patients are performing a rehabilitation exercise correctly.

Abstract: A system for performing a medical procedure using a piece of capital equipment includes a peripheral device adapter. The adapter includes a housing having a first end configured to connect to the piece of capital equipment and a second end configured to connect to a single use device. The adapter includes a connector configured to removably connect to a peripheral device. The adapter includes a peripheral device adapter memory device for storing instructions, wherein the instructions are configured to package data or information associated with the peripheral device into a format representative of a single use device to allow for communication with the piece of capital equipment. The system includes one or more processors.

Abstract: Methods and systems for temporal action localization include processing a video stream to identify an action and a start time and a stop time for the action using a neural network model that separately processes information of appearance and motion modalities from the video stream using transformer branches that include a self-attention and a cross-attention between the appearance and motion modalities. An action is performed responsive to the identified action.

Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

Abstract: An electrosurgical generator is disclosed. The electrosurgical generator includes device terminals including an active terminal and a return terminal and a controller. The controller generates a radiofrequency (RF) energy signal for delivery to the active terminal, measures an electrical impedance between device terminals and a phase angle of the RF energy signal while the RF energy signal is applied to the active terminal, determines at least one of a sustained change in electrical impedance, a change in electrical impedance via an impedance slope, and a change in phase angle change, and generates an indication of tissue crossing based on the determined change of the electrical impedance or the phase angle.

Abstract: An electrosurgical generator and system include device terminals including an active terminal and a return terminal and a controller. The controller adjusts an amplitude of a radiofrequency (RF) energy signal provided to the active terminal. The adjusted amplitude is based on a setpoint and an input in a closed feedback loop. The input is based on a rolling sum of addends, and each addend is based on a sampled output of the RF energy signal associated with a frequency bin. The rolling sum of addends is determined over a number of frequency bins associated with a target frequency.

Abstract: Systems and methods for action detection are provided. The systems and methods include generating action prediction labels and bounding boxes for objects detected in video frames and comparing the action prediction labels and the bounding boxes with corresponding ground labels, determining a classification loss and a localization loss, and determining a reversibility action loss by comparing the action prediction labels with known actions indices and logical constraints and a speed action loss by comparing the action prediction labels with known actions indices and logical constraints. The systems and methods further include combining the classification loss, localization loss, reversibility action loss, and speed action loss to evaluate a total loss and selecting the action prediction with a lowest total loss as an action assertion and performing reactionary actions in a connected device in response to the action assertion.

Abstract: Methods and systems for filling data include extracting text from a structured document and document instructions to identify a field within the structured document. Text is extracted from a contextual document to identify information relating to the field. Information is selected from the contextual document based on a comparison between the extracted text from the contextual document and the extracted text from the structured document and document instructions. The field within the structured document is filled using the selected information to create a filled document.

Abstract: Systems and methods for optimizing multi-camera multi-entity artificial intelligence tracking systems. Visual and location information of entities from video feeds received from multiple cameras can be obtained by employing an entity detection model and re-identification model. Likelihood scores that entity detections belong to an entity track can be predicted from the visual and location information. The entity detections predicted into entity tracks can be processed by employing combinatorial optimization of the likelihood scores by identifying assumptions from the likelihood scores, entity detections, and the entity tracks, filtering the assumptions with unsatisfiable problems to obtain a filtered assumptions set, and optimizing an answer set by utilizing the filtered assumptions set and the likelihood scores to maximize an overall score and obtain optimized entity tracks. Multiple entities can be monitored by utilizing the optimized entity tracks.

Abstract: An electrosurgical puncture device configured for use with an electrosurgical generator in an electrosurgical puncture procedure. The device includes a connector configured to couple the device to the electrosurgical generator, the connector including a radiofrequency (RF) conductor to receive an RF puncture signal provided by the electrosurgical generator. The device includes a tangible storage medium electrically coupled to the connector and includes data for use with the electrosurgical generator in the electrosurgical puncture procedure. The tangible storage medium also includes an asymmetric signature mechanism including a digital signature generated from a hash value of the data signed with a private key, a usage stamp having an associated generator code field and a timestamp field in a write protectable region of the storage medium, and a challenge response mechanism including a challenge engine. The electrosurgical generator includes a public key and provides the challenge.

Abstract: Methods and systems for action detection include encoding a text feature of an input textual description of an action using a visual language model (VLM). A video feature of an input video is encoded using the VLM. The action in the video is recognized, based on the text feature and the video feature, to localize the action within the video. A person performing the action is located within the video using the VLM.

Abstract: Systems and methods for a multi-entity tracking transformer model (MCTR). To train the MCTR, processing track embeddings and detection embeddings of video feeds obtained from multiple cameras to generate updated track embeddings with a tracking module. The updated track embeddings can be associated with the detection embeddings to generate track-detection associations (TDA) for each camera view and camera frame with an association module. A cost module can calculate a differentiable loss from the TDA by combining a detection loss, a track loss and an auxiliary track loss. A model trainer can train the MCTR using the differentiable loss and contiguous video segments sampled from a training dataset to track multiple objects with multiple cameras.