Abstract: A spinal surgery training process includes the steps of capturing a plurality of 2D images for each of a plurality of spines, generating a curve of each spine from the respective 2D images based on locations of select vertebrae in each of the spines, grouping the spines into one of a number of groups based on similarity to produce groups of spines having similarities, performing the capturing, generating, determining and grouping steps at least once prior to surgery and at least once after surgery to produce pre-operative groups and their resultant post-operative groups, and assigning surgical methods and a probability to each of the post-operative groups indicating the probability that a spinal shape of the post-operative group can be achieved using the surgical methods. An outcome prediction process for determining surgical methods can be implemented once the training process is complete.

Abstract: Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

Abstract: A spinal surgery training process includes the steps of capturing a plurality of 2D images for each of a plurality of spines, generating a curve of each spine from the respective 2D images based on locations of select vertebrae in each of the spines, grouping the spines into one of a number of groups based on similarity to produce groups of spines having similarities, performing the capturing, generating, determining and grouping steps at least once prior to surgery and at least once after surgery to produce pre-operative groups and their resultant post-operative groups, and assigning surgical methods and a probability to each of the post-operative groups indicating the probability that a spinal shape of the post-operative group can be achieved using the surgical methods. An outcome prediction process for determining surgical methods can be implemented once the training process is complete.

Abstract: Systems, methods and devices for tracking one or more surgical landmarks are provided. A first image depicting one or more surgical landmarks may be received from an imaging device and a second image depicting the one or more surgical landmarks may be received after the first image. Movement of at least one of the one or more surgical landmarks may be detected and a notification for an operating room personnel may be generated when the detected movement meets or exceeds a movement threshold.

Abstract: A system or method according to at least one embodiment of the present disclosure includes receiving a preoperative image of a patient in a first posture; receiving an intraoperative image of the patient in a second posture; comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture; and determining, based on comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture, a difference between the first posture and the second posture, the adequate surgical changes are imparted to the second posture to achieve satisfactory surgical outcome.

Abstract: Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

Abstract: A spinal surgery training process includes the steps of capturing a plurality of 2D images for each of a plurality of spines, generating a curve of each spine from the respective 2D images based on locations of select vertebrae in each of the spines, grouping the spines into one of a number of groups based on similarity to produce groups of spines having similarities, performing the capturing, generating, determining and grouping steps at least once prior to surgery and at least once after surgery to produce pre-operative groups and their resultant post-operative groups, and assigning surgical methods and a probability to each of the post-operative groups indicating the probability that a spinal shape of the post-operative group can be achieved using the surgical methods. An outcome prediction process for determining surgical methods can be implemented once the training process is complete.