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Abstract

A method and system for providing artificial intelligence for planning and risk assessment of surgical paths to a tumor in an organ. The method and system achieve their objects related to path planning by providing a data-processing system programmed to do at least the following: define one or more risk-of-damage probability spaces within an organ, and, utilizing the defined risk-of-damage probability spaces, calculate an optimum path to the tumor in the organ. The definition of the risk-of-damage probability spaces can be done as follows: at least one functional region within an organ is defined; the defined functional region is subdivided into subregions; and a risk-of-damage probability is associated with each of the subregions such that a higher probability indicates a concomitant loss of function of the at least one functional area within the organ. The method and system achieve their objects related to risk assessment by providing a data-processing system programmed to do at least the following: define one or more risk-of-damage probability spaces within an organ; receive an input of a location, relative to the organ, of a surgical instrument; receive an input of a location of a tumor within the organ; define moves relative to paths, defined by specified path perspectives, from the location of the surgical instrument to the tumor within the organ; assess risks for the defined moves relative to the paths defined by specified path perspectives; and indicate the risks associated with the moves relative to the paths defined by specified path perspectives.

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