The inventive subject matter is directed to an artificial intelligence intra-operative surgical guidance system and method of use. The artificial intelligence intra-operative surgical guidance system is made of a computer executing one or more automated artificial intelligence models trained on data layer datasets collections to calculate surgical decision risks, and provide intra-operative surgical guidance; and a display configured to provide visual guidance to a user.

A method and system for non-invasive assessment and therapy planning for coronary artery disease from medical image data of a patient is disclosed. Geometric features representing at least a portion of a coronary artery tree of the patient are extracted from medical image data. Lesions are detected in coronary artery tree of the patient and a hemodynamic quantity of interest is computed at a plurality of points along the coronary artery tree including multiple points within the lesions based on the extracted geometric features using a machine learning model, resulting in an estimated pullback curve for the hemodynamic quantity of interest. Post-treatment values for the hemodynamic quantity of interest are predicted at the plurality of points along the coronary artery tree including the multiple points within the lesions for each of one or more candidate treatment options for the patient, resulting in a respective predicted post-treatment pullback curve for the hemodynamic quantity of interest for each of the one or more candidate treatment options. A visualization of a treatment prediction for at least one of the candidate treatment options is displayed.

The present disclosure relates to a method for guiding an osteotomy procedure on at least one bone selected from a tibia and a femur pertaining to a patient's lower limb to correct a misalignment of said lower limb, wherein a tibial tracker is fixed to the tibia and a femoral tracker is fixed to the femur, comprising: receiving at least one target alignment parameter of the lower limb; determining a position of a set of characteristic points on at least one of the tibia and the femur relative to at least one of the tibial tracker and the femoral tracker; applying mechanical constraints to the lower limb to bring the lower limb in a constrained position simulating laxities and/or soft tissues influence tracking positions of said characteristic points relative to at least one of the tibial tracker and the femoral tracker based on localization data of the set of characteristic points during application of said mechanical constraints, determining at least one alignment parameter of the lower limb in said constrained position, based on the positions of the characteristic points; based on the at least one target alignment parameter and on the at least one alignment parameter of the lower limb in the constrained position, determining at least one correction parameter of the osteotomy procedure to be applied to the lower limb to achieve the target alignment parameter.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A system for deploying needles in tissue includes a controller and a visual display. A treatment probe has both a needle and tines deployable from the needle which may be advanced into the tissue. The treatment probe also has adjustable stops which control the deployed positions of both the needle and the tines. The adjustable stops are coupled to the controller so that the virtual treatment and safety boundaries resulting from the treatment can be presented on the visual display prior to actual deployment of the system.

A system and method for prostate cancer treatment under local anesthesia includes creating a superficial skin and subcutaneous block in a perineal area of a patient by administering a first anesthetizing agent; creating a deep nerve block under ultrasound guidance by administering a second anesthetizing agent, the second anesthetizing agent infiltrating cavernosal nerve bundle tissue and periprostatic space; and ablating prostate tissue. The office-based method, statistical models and computer generated treatment plans identify and ablate prostate tissue containing cancer through or via the perineum while preserving prostate function, and critical anatomical structures. Multiple technologies are integrated and processed to deliver a safe treatment procedure, under local anesthesia by integrating the information of magnetic resonance imaging and planning the ablative treatment using algorithms that ensure maximal precision in both killing cancerous tissue and preserving healthy tissue along with its corresponding function.

The present teaching is related to the field of aesthetics. It concerns more particularly new methods for the generation of 3D anatomical outputs and 3D simulations of any aesthetic procedure, products obtained by such simulations, uses thereof and the creation of platforms or 3D virtual worlds of connected users and entities forming a virtual community using such methods and creating or ordering accessories and/or products.

Certain embodiments described herein relate to systems and methods for determining implant configuration or design of implants by taking into account soft tissues and utilizing patient-specific simulations of activities of daily living.

A method for determining the positioning in deployed position of an expandable medical device type implant, including, from a three-dimensional image of a region of interest including the vascular structure, the following steps: determination of a centreline of the vascular structure, positioning of the IMD according to an initial position, around the centreline, simulation of the final position of the IMD after deployment, as a function of the stresses exerted by the walls of the vascular structure on the IMD, the determination of the centreline consisting in placing points so as to minimise a travel time of fluid along said points between an input point and an output point, the simulation of the final position of the IMD taking account of a level of longitudinal push-pull intended to be applied to the IMD during its implantation.

A medical system comprises a flexible device configured to be positioned at least partially within an anatomical passageway of a plurality of anatomical passageways within a patient anatomy. The medical system further comprises a memory device including computer executable instructions. The computer executable instructions are for performing operations comprising determining a deformation force exerted by a section of the flexible device. The operations further comprise registering a model of a candidate anatomical passageway of the plurality of anatomical passageways to a model of the flexible device based on: a shape of the flexible device; and the deformation force exerted by the section of the flexible device.