Robotic surgical system with configuration information

1 . A surgical procedure method, comprising:

providing a robotic surgical system used by a surgeon, the robotic surgical system including:

a surgeon counsole coupled to a patient counsole with the patient counsole coupled to one or more manipulators, a surgeon computer coupled to or at the surgeon counsole, the surgeon counsole coupled to the one or more manipulators;

one or more sensors producing outputs that detects and responds to input from the physical environment;

using a feedback loop to monitor and collect data from the one or more sensors used to provide feedback to the robotic surgical system;

an Artificial Intelligence (AI) system including an AI architecture that uses input data for producing an AI model;

a surgical robot coupled to or including a robotic surgery control system, the feedback loop, the AI system, the robotic surgery control system coupled to the surgeon console, one or more of the feedback loop, the AI system and the robotic surgery control system configured to determine a spatial configuration data of at least a portion of the one or more manipulators using image or location information of one or more of vascular or nervous structures and organs relative to the surgical procedure; and

wherein the one or more of the: feedback loop; AI system; and spatial configuration data used singularly or in combination to provide enhanced navigation; identification of vascular or nervous structures and organs, and manipulation of the one or more manipulators.

2 . The method of claim 1 , wherein identification includes native tissue recognition.

3 . The method of claim 1 , wherein identification includes identification and segmentation of different anatomical structures during the surgical procedure.

4 . The method of claim 1 , wherein navigation includes enhancing the surgeon's ability to navigate complex anatomy.

5 . The method of claim 1 , wherein identification of dissection planes are identified.

6 . The method of claim 5 , wherein dissection planes are identified by segmenting loose connective tissue fibers, allowing the surgeon to avoid critical anatomical structures.

7 . The method of claim 1 , wherein identification includes distinguishing between a patient's native tissue and surgical instruments.

8 . The method of claim 1 , wherein identification includes enhanced detection of positive surgical margins during the surgical procedure.

9 . The method of claim 1 , wherein identification includes distinguishing between diseased and non-diseased tissue.

10 . The method of claim 1 , wherein the one or more of the: feedback loop; AI; and spatial configuration data are used singularly or in combination to identify surgical steps during the surgical procedure.

11 . The method of claim 1 , wherein the one or more of the: feedback loop; AI; and spatial configuration data are used singularly or in combination to identify surgeon errors in real-time.

12 . A robotic surgical system, comprising:

a surgeon counsole and a patient counsole;

a surgeon computer coupled to or at the surgeon console;

one or more sensors producing outputs that detects and responds to input from the physical environment;

using a feedback loop to monitor and collect data from the one or more sensors used to provide feedback to the robotic surgical system;

an Artificial Intelligence (AI) system including an AI architecture that uses input data for producing an AI model;

a surgical robot coupled to a robotic surgery control system and coupled to or including the feedback loop, the artificial intelligence AI system, the robotic surgery control system coupled to the surgeon counsole, one or more of the feedback loop, the AI system and the robotic surgery control system configured to determine a spatial configuration data of at least a portion of one or more manipulators using image or location information of one or more of vascular or nervous structures and organs relative to the surgical procedure; and

wherein the one or more of the: feedback loop; AI system; and spatial configuration data used singularly or in combination to provide enhanced navigation; identification of vascular or nervous structures and organs, and manipulation of the one or more manipulators.

13 . The system of claim 12 , wherein identification includes native tissue recognition.

14 . The system of claim 12 , wherein identification includes identification and segmentation of different anatomical structures during the surgical procedure.

15 . The system of claim 12 , wherein navigation includes enhancing the surgeon's ability to navigate complex anatomy.

16 . The system of claim 12 , wherein identification includes identification of dissection planes.

17 . The system of claim 16 , wherein the dissection planes are identified by segmenting loose connective tissue fibers, allowing the surgeon to avoid critical anatomical structures.

18 . The system of claim 12 , wherein identification includes distinguishing between a patient's native tissue and surgical instruments.

19 . The system of claim 12 , wherein identification includes enhanced detection of positive surgical margins during the surgical procedure.

20 . The system of claim 12 , wherein identification includes distinguishing between diseased and non-diseased tissue.