Abstract: Systems, methods, and computer readable media related to providing intraoperative video review are disclosed. They involve receiving a plurality of video frames from a surgical video of an ongoing surgical procedure. Stored data based on prior surgical procedures may be accessed and at least one expected future event in the ongoing surgical procedure may be predicted based on the plurality of video frames and the stored data. At least one option to review at least one surgical video clip associated with the expected future event in the surgical procedure may be generated. A data structure containing the at least one surgical video clip may be accessed and the at least one surgical video clip associated with the expected future event may be outputted for intra-surgical presentation.

Abstract: Systems and methods for automatically populating a post-operative report of a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including receiving an identifier of a patient, an identifier of a healthcare provider, and surgical footage of a surgical procedure performed on the patient. The method may include analyzing frames of the surgical footage to identify phases of the surgical procedure based on interactions between medical instruments and biological structures and, based on the interactions, associate a name with each phase. The method may include determining a beginning of each phase and associating a time marker with the beginning of each phase. The method may include populating a post-operative report with the patient identifier, the names of the phases, and time markers associated with the phases in a manner that enables the health care provider to alter the post-operative report.

Abstract: Systems and methods for updating a predicted outcome during a surgical procedure are disclosed. The system may include at least one processor configured to perform operations that include receiving, from at least one image sensor, image data associated with a first event and image data associated with a second event during a surgical procedure. Operations may include determining, based on received image data associated with the first event, a predicted outcome associated with the surgical procedure. Operations may include determining, based on the received image data associated with the second event, a change in the predicted outcome, causing the predicted outcome to drop below a threshold. Operations may include accessing a data structure of image-related data based on prior surgical procedures, identifying, based on the data structure, a recommended remedial action, and outputting the recommended remedial action.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims. Aspects disclosed herein utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: Systems and methods for analysis of fluid leakage are disclosed. A system may include at least one processor configured to receive in real time, intracavitary video of a surgical procedure; analyze frames of the intracavitary video to determine an abnormal fluid leakage situation in the intracavitary video; and institute a remedial action when the abnormal fluid leakage situation is determined.

Abstract: Systems and methods for automatically populating a post-operative report of a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including receiving an identifier of a patient, an identifier of a healthcare provider, and surgical footage of a surgical procedure performed on the patient. The method may include analyzing frames of the surgical footage to identify phases of the surgical procedure based on interactions between medical instruments and biological structures and, based on the interactions, associate a name with each phase. The method may include determining a beginning of each phase and associating a time marker with the beginning of each phase. The method may include populating a post-operative report with the patient identifier, the names of the phases, and time markers associated with the phases in a manner that enables the health care provider to alter the post-operative report.

Abstract: Systems and methods for enabling determination and notification of an omitted event in a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including accessing frames of video captured during a specific surgical procedure and accessing stored data identifying a recommended sequence of events for the surgical procedure. The method may include comparing the accessed frames with the recommended sequence of events to identify an indication of a deviation between the specific surgical procedure and the recommended sequence of events for the surgical procedure. The method may include determining a name of an intraoperative surgical event associated with the deviation and providing a notification of the deviation including the name of the intraoperative surgical event associated with the deviation.

Abstract: Systems and methods for surgical preparation are disclosed. A system may include at least one processor configured to access a repository surgical video footage. The processor may enable a surgeon preparing for a contemplated surgical procedure to input case-specific information corresponding to the contemplated surgical procedure and compare the case-specific information with data associated with the surgical video footage to identify a group of intraoperative events likely to be encountered during the contemplated surgical procedure. The processor may determine that a first set and a second set of video footage from differing patients contain frames associated with intraoperative events sharing a common characteristic and omit the second set from a compilation to be presented to the surgeon and include the first set in the compilation to be presented to the surgeon to enable the surgeon to view a presentation including the compilation.

Abstract: Systems and methods for predicting post-discharge risk are disclosed. A system may include at least one processor configured to access frames of video captured during a specific surgical procedure on a patient and access stored historical data identifying intraoperative events and associated outcomes. The processor may analyze the accessed frames and, based on information obtained from the historical data, identify in the accessed frames at least one specific intraoperative event. The processor may further determine, based on information obtained from the historical data and the identified at least one intraoperative event, a predicted outcome associated with the specific surgical procedure, and output the predicted outcome in a manner associating the predicted outcome with the patient.

Abstract: Systems and methods for enabling determination and notification of an omitted event in a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including accessing frames of video captured during a specific surgical procedure and accessing stored data identifying a recommended sequence of events for the surgical procedure. The method may include comparing the accessed frames with the recommended sequence of events to identify an indication of a deviation between the specific surgical procedure and the recommended sequence of events for the surgical procedure. The method may include determining a name of an intraoperative surgical event associated with the deviation and providing a notification of the deviation including the name of the intraoperative surgical event associated with the deviation.

Abstract: Systems and methods for analyzing complexity of surgical footage are disclosed. A system may include at least one processor configured to analyze frames of the surgical footage to identify an anatomical structure in a first set of frames. The processor may access first historical data based on an analysis of first frame data captured from a first group of surgical procedures and analyze the first set of frames to determine a first complexity level. The processor may analyze the surgical footage to identify in a second set of frames a medical tool, an anatomical structure, and an interaction between the medical tool and the anatomical structure. The processor may access second historical data based on an analysis of a second frame data captured from a second group of surgical procedures and analyze the second set of frames to determine a second complexity level associated with the second set of frames.

Abstract: Systems and methods for generating decision support data for surgical videos are disclosed, the system may include at least on processor configured to implement a method. The method may include receiving video footage of a surgical procedure performed by a surgeon on a patient in an operating room and implementing a model on the received video footage to determine an existence of a surgical decision-making junction. The model may be trained to detect decision-making junctions using training data based on historical video footage depicting surgical situations. The method may include accessing, in a data structure, a correlation between an outcome and a specific action taken at the decision-making junction, and, based on the existence of the decision-making junction and the correlation, outputting a recommendation to at least one of a user device or a user interface related to the specific action.

Abstract: Systems and methods for analyzing surgical procedures and assessing surgical competency of subjects are disclosed. A method may include receiving a plurality of video frames associated with at least one surgical procedure and accessing stored data based on prior surgical procedures. The method may further include processing, using the stored data, the video frames to assess at least one of tissue handling, economy of motion, depth perception and surgical procedure flow in the video frames. Based on the assessment of at least one of tissue handling, economy of motion, depth perception and surgical procedure flow, a competency-related score for a subject may be generated. The method may further include selecting, from the video frames, at least one video clip from which the competency score was derived, outputting the score, and presenting in association with the at least one score, a link to the at least one video clip.

Abstract: Systems, methods, and computer readable media related to aggregating and associated captured medical data are disclosed. They involve receiving an ID of a piece of equipment in a medical facility, location information for the equipment, and medical information captured by the equipment; and ascertaining a time of information capture by the equipment. They further involve performing a lookup in a data record to determine an identity of a particular patient assigned to a location associated with the location information and performing a lookup in a data structure to identify a medical record of the particular patient. They further involve establishing an association between the medical information captured by the equipment and the medical record to thereby enable access to the medical information through access to the medical record of the particular patient.

Abstract: Systems, methods, and computer readable media related to detection in video of surgical instrumental deviations from surgical planes are disclosed. The methods may include receiving video frames from a surgical video feed. The frames are analyzed to identify a surgical instrument. The frames are evaluated with the identified surgical instrument to ascertain an interface area corresponding to a location of an interaction between the identified surgical instrument and tissue. Stored data is accessed characterizing a surgical plane corresponding to the interaction, and the stored data is used to determine whether the interface area is outside of the surgical plane. An out-of-surgical plane signal is outputted indicating a deviation from the surgical plane by the surgical instrument.