Architecture, system, and method for developing and robotically performing a medical procedure activity

Abstract

Embodiments of architecture, systems, and methods to develop a learning/evolving system to robotically perform one or more activities of a medical procedure where the medical procedure may include diagnosing a patient's medical condition(s), treating medical condition(s), and robotically diagnosing a patient's medical condition(s) and performing one or more medical procedure activities based on the diagnosis without User intervention.

What is claimed is: 
     
         1 . A method of forming an automated system to perform an activity of a medical procedure for a patient, the method comprising:
 forming a base model of an activity of a medical procedure for a patient based on sensor system data for a region of the patient to be affected by the activity, wherein the sensor system data is sampled from a sensor system positioned to monitor an aspect of the medical procedure activity to be automated;   determining one of a target or access to the target for a region to be affected by the activity based on the formed base model; and   determining the number of robotic systems needed to perform the medical procedure activity based on the base model and one of the target or access to target.   
     
     
         2 . The method of  claim 1 , wherein the sensor system data is sampled from start to completion of the medical procedure activity to be automated. 
     
     
         3 . The method of  claim 1 , wherein the sensor system includes a plurality of sensor systems to monitor a plurality of aspects of the medical procedure activity. 
     
     
         4 . The method of  claim 1 , further comprising storing the sampled sensor system data from the sensor system in a training database. 
     
     
         5 . The method of  claim 1 , further comprising employing a training system to train an automated robotic control system to control one of the determined robotic systems to perform the medical procedure activity based on the sampled sensor system data, the formed base model, and one of the target or the access to the target. 
     
     
         6 . The method of  claim 5 , wherein the automated robotic control system uses one or more neural networks to control one of the determined robotic systems to perform the medical procedure activity based on the sampled sensor system data, the formed base model, and one of the target or the access to the target. 
     
     
         7 . The method of  claim 1 , further comprising training an automated robotic control system to control one of the determined robotic systems to perform the medical procedure activity based on the sampled sensor system data, the formed base model, and one of the target or the access to the target. 
     
     
         8 . The method of  claim 7 , wherein the automated robotic control system includes one or more neural networks. 
     
     
         9 . The method of  claim 1 , wherein the sensor system data includes the sensor system physical location relative to the patient and one of sensor system received data and processed received data. 
     
     
         10 . The method of  claim 9 , wherein the sensor system data includes generated sensor system data. 
     
     
         11 . The method of  claim 1 , further comprising employing a training system to train an automated robotic control system including one or more neural networks to control one of the determined robotic systems to perform the medical procedure activity based on the sampled sensor system data, the formed base model, and one of the target or access to target. 
     
     
         12 . A system for forming an automated system to perform an activity of a medical procedure for a patient, the system comprising:
 a base model formation system to form a base model for a region of the patient to be affected by an activity of a medical procedure based on sensor system data monitored from a sensor system positioned to monitor an aspect of the medical procedure activity, the base model including one or landmarks and one of a target or access to the target; and   an automated robotic control system to control a robotic system to perform an aspect of the medical procedure activity based on the monitored sensor system data and the formed base model.   
     
     
         13 . The system of  claim 12 , wherein the sensor system includes a plurality of sensor systems positioned to monitor a plurality of aspects of the medical procedure activity. 
     
     
         14 . The system of  claim 12 , further comprising a training system that trains the automated robotic control system to control a robotic system to perform an aspect of the medical procedure activity based on the monitored sensor system data and the formed base model. 
     
     
         15 . The system of  claim 12 , further comprising a training database for storing the monitored sensor system data from the sensor system. 
     
     
         16 . The system of  claim 12 , further comprising a training system to train the automated robotic control system to control a robotic system to perform the medical procedure activity based on the monitored sensor system data and the formed base model. 
     
     
         17 . The system of  claim 16 , wherein the automated robotic control system includes one or more neural networks to control the robotic system to perform the medical procedure activity based on the monitored sensor system data and the formed base model. 
     
     
         18 . The system of  claim 12 , wherein the sensor system data includes the sensor system physical location relative to the patient and one of sensor system received data and processed received data. 
     
     
         19 . The system of  claim 12 , wherein the automated robotic control system includes one or more neural networks. 
     
     
         20 . The system of  claim 12 , further comprising a training system to train an automated robotic control system including one or more neural networks to control a robotic system to perform the medical procedure activity based on the sampled sensor system data and the formed base model.