Abstract: The proposed software takes input from numerous sources to provide as much credible and relevant information as possible in a short period of time for a given user making an inquiry. Inputs include profile data from the user via direct data input or API(s) (such as geographical, lifestyle and hobby, age, interests, and preferences), query text data on the inquiry, other user profile information, and stored communication threads between users. These 4 pieces of data are used together to index through, and rank query responses that match a user's profile, in addition to identifying and matching other users who qualify to respond to the inquiry for further communication stream. This form of SEO brings a plurality of data sources and information to one database (or a plurality of related databases) such that the information is standardized and actionable resulting in an efficient and desirable model.

Abstract: A computing system and/or a method may be provided for using a risk assessment to provide a notification. The computing system may comprise a processor. The processor may be configured to perform the method. A biomarker may be received for a patient from a sensing system. A data collection that includes pre-surgical data may be received for a patient. A probability of a patient outcome due to a surgery performed on the patient may be determined using the biomarker and the data collection. A notification may be sent to a user. The notification may indicate that the probability of the surgical complication may exceed a threshold.

Abstract: In general, devices, systems, and methods for control of one visualization with another are provided.

Abstract: In general, devices, systems, and methods for control of one visualization with another are provided.

Abstract: In general, surgical devices including visual indicators thereon are provided. A user of the device therefore may quickly visually ascertain various operational details of the surgical device and/or various pieces of information about the device and/or tissue of a patient being operated on.

Abstract: Patient biomarkers may be monitored before, during, and/or after thoracic surgery to predict complications, detect complications, track recovery, and/or make pre-, in- and/or post-surgery recommendations to avoid predicted complications and/or mitigate detected complications. Complications (e.g., prolonged air leak or esophageal stricture) may be predicted based on patient parameters and/or biomarker measurements. Complications may be predicted or detected based on biomarker measurements compared to thresholds associated with a biomarker (e.g., developed from baselines) generated based on patient parameters, pre- and/or in-surgery biomarker measurements, and/or surgical details (e.g., decrease in lung capacity). Recovery milestones may be tracked based on biomarker measurements compared to predicted biomarker measurements for recovery stages. A recommendation (e.g.

Abstract: A computing system for measuring and monitoring patient biomarkers for detecting or predicting a post-surgical hysterectomy complication may be provided. A post-surgical hysterectomy complication may be predicted or detected by comparing measured/processed patient biomarker data with a corresponding determined threshold value. The comparison of the measured/processed patient biomarker data and the corresponding threshold may be performed in association with a context. The context may be based on at least one of a hysterectomy surgery recovery timeline, at least one situational attribute, or at least one environmental attribute. A notification message associated with a predicted or detected post-surgical hysterectomy complication may be sent (e.g., sent in real time) to a patient device or a healthcare provider's device. The notification message may be supplemented by a severity level message.

Abstract: Examples herein may include a computer-implemented method for providing outcome tracking of patients, which may include generating an event trigger for the patient, wherein during a duration of the patient's recovery, the event trigger may correspond to values of a patient biomarker over or under threshold values while the patient is performing a post-surgery activity related to the patient's recovery. The computer-implemented method may include receiving actual patient biomarker data from a patient sensor system for the patient while the patient is performing a post-surgery activity. If the actual patient biomarker data includes values over or under the threshold value while the patient is performing a post-surgery activity, the method may include triggering the event trigger. The method may include generating a notification alert corresponding to the event trigger.

Abstract: 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/or 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.

Abstract: 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, an evaluation of the actions of the operator of the surgical instrument. The surgical computing system may determine, based on the evaluation, to provide feedback. The feedback may comprise instructions for the surgical instrument to provide haptic feedback and/or to modify its configuration. The feedback may comprise instructions for a display unit to present notifications instructing the healthcare professional. The surgical computing system may communicate instructions for providing the feedback to the surgical instrument and/or the display unit.

Abstract: A computing system may be provided for applying machine learning to a data collection to improve a surgical outcome. The computing system may comprise a processor. The processor may be configured to perform a number of actions. An indication that an operational behavior of a surgical device may be suboptimal may be determined from a data collection that may include one or more biomarkers. A model that may optimize and/or improve the behavioral operation of the surgical device to improve a surgical outcome may be determined using machine learning and the data collection. The model may be updated using feedback given by a healthcare provider to improve the model. The control program update may be determined using the model and the data collection. The control program update may be configured to alter a manner in which a control program operates the surgical device during the surgical procedure. The control program update may be sent to the surgical device.

Abstract: A computing system and/or a method may be provided for using a risk assessment to provide a notification. The computing system may comprise a processor. The processor may be configured to perform the method. A biomarker may be received for a patient from a sensing system. A data collection that includes pre-surgical data may be received for a patient. A probability of a patient outcome due to a surgery performed on the patient may be determined using the biomarker and the data collection. A notification may be sent to a user. The notification may indicate that the probability of the surgical complication may exceed a threshold.

Abstract: 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.

Abstract: In general, surgical devices switchable between monopolar functionality and bipolar functionality are provided. In an exemplary embodiment, a surgical device is configured to selectively apply each of bipolar energy and monopolar energy.

Abstract: Surgical devices and systems having rotating end effector assemblies for treating tissue are provided. Methods for using the same are also provided.

Abstract: A method includes positioning a surgical tool with an end effector adjacent a surgical site, the end effector including a housing having a tapered section that defines an inner surface, first and second arcuate jaw members protruding distally from the housing and defining a channel therebetween, each arcuate jaw member exhibiting a curved profile shaped to receive an arcuate surgical clip, and a feedbar movable within the housing. The method further including urging the arcuate surgical clip against the inner surface, advancing the feedbar within the housing to engage and follow the inner surface and thereby flexing the feedbar downward and into engagement with the arcuate surgical clip, advancing the arcuate surgical clip with the feedbar into interposition between the first and second arcuate jaw members, and collapsing the first and second arcuate jaw members to crimp the arcuate surgical clip.

Abstract: Surgical devices and systems having rotating end effector assemblies for treating tissue are provided. In one exemplary embodiment, a surgical device can include a housing, an instrument shaft extending from the housing, and an effector assembly, in which the instrument shaft includes an outer sleeve, a waveguide, and a rotation assembly having an inner sleeve. Methods for using the same are also provided.

Abstract: End effectors with increased clip loading capacity include those configured to dispense arcuate surgical clips. Such end effectors may comprise: a housing; and first and second arcuate jaw members protruding distally from the housing. Each arcuate jaw member has a curved profile and is shaped to receive an arcuate surgical clip having a complementary curved profile therebetween. Surgical tools may comprise the end effectors operably coupled to the distal end of an elongate shaft.

Abstract: In general, surgical devices including visual indicators thereon are provided. A user of the device therefore may quickly visually ascertain various operational details of the surgical device and/or various pieces of information about the device and/or tissue of a patient being operated on.

Abstract: In general, surgical devices switchable between monopolar functionality and bipolar functionality are provided. In an exemplary embodiment, a surgical device is configured to selectively apply each of bipolar energy and monopolar energy.