Integrated AI-powered adaptive robotic surgery system

1 . A robotic surgical system for performing a surgical procedure at a surgical site of a patient, comprising:

a surgeon console coupled to a patient console and one or more surgical instruments, the surgeon console configured for use by a surgeon to perform a surgical procedure at a surgical site using one or more surgical instruments;

a surgeon computer coupled to or integrated with the surgeon console, the surgeon computer coupled to the one or more surgical instruments;

an imaging system including one or sensors and one or cameras producing pre-operative images at the surgical target site for tissue to be modified or removed, tissue boundries, and critical structures, acquisition of the pre-operative images of the patient before a surgical procedure allowing a surgeon to visualize and create a modifiable surgical plan based on the patient's anatomy;

a surgical robot with one or more surgical arms and coupled to the surgeon console;

an AI system coupled to or including a robotic surgery control system and a feedback loop, the AI system including one or more machine learning algorithms configured to: (i) process a baseline pre-operative images to generate an AI model and a virtual model including one or more boundary indicators delineating at least a boundary of the surgical target tissue and a boundary of a protected tissue comprising the one or more critical structures; (ii) receive via a touch-screen user interface of the surgeon console, a surgeon annotation that modifies at least one of the boundary indicators; (iii) register the virtual model to the intraoperative image data; and (iv) provide real-time guidance by causing the surgeon console display to present the intraoperative image data with the boundary indicators overlaid on the displayed intraoperative image data, and by generating at least one of an alert or an inhibition of instrument positioning when a current or predicted instrument position is outside the boundary of the surgical target tissue or within a threshold distance of the boundary of the protected tissue; and

a data extraction module configured to record and store, in a memory, a sequence of surgical instrument-positioning commands executed by the surgeon during the surgical procedure as one or more programmed steps retrievable for a subsequent surgical procedure or as training data for the AI model.

2 . The system of claim 1 , further comprising a procedural confidence engine configured to:

assign one or more confidence scores to the AI system based on at least one of: real-time sensor validation, AI model certainty metrics, and comparison with one or more historical surgical procedure outcomes.

3 . The system of claim 1 , wherein the AI system includes a personalization module configured to:

adjust an instrument control sensitivity and one or more feedback parameters based on a surgeon-specific behavioral profile overlay elements including segmented anatomical structures, projected surgical instrument trajectories, and virtual annotations

provide one or more confidence scores through a surgeon interface as at least one of: overlay gradients, numerical indicators, or alert thresholds mapped to overlay opacity, density, contour thickness, and layer ordering, with an occlusion policy that preserves visibility of tissue and instrument edges; and

dynamically update the rendered scores and the spatial registration of the overlay as new intraoperative data is received, with feedback integrated into the robotic surgery control system to inform confidence arbitration and control modulation including one or more of: suppression or dimming of low-confidence overlay regions, emphasis of risk-zone shading when confidence indicates elevated risk, and automatic overlay recalibration upon detection of a threshold misalignment.

4 . The system of claim 1 , further comprising a distributed AI audit engine configured to:

track and log one or more of: AI model outputs, decision rationales, surgeon overrides, and outcomes during the surgical procedure.

5 . The system of claim 1 , further comprising a decision branching interface integrated with the surgeon console, the decision branching interface configured to:

present a plurality of AI-suggested surgical pathways, each including one or more predicted trajectories of the one or more of a surgical arms.

6 . The system of claim 1 , wherein the feedback loop includes a comprises a behavioral adaptation module configured to:

detect one or more surgeon behavior anomalies during the surgical procedure.

7 . The system of claim 1 , further comprising a procedural deviation tracker configured to:

detect a divergence from one or more of procedural plans.

8 . The system of claim 1 , further comprising a human-in-the-loop reinforcement engine configured to:

collect surgeon feedback on one or more AI recommendations and one or more actions.

9 . The system of claim 1 , wherein the AI system dynamically recalibrates one or more reference frames or spatial models based on: changes in at least one of: patient positioning, one or more surgical tool exchange events, movement of imaging devices, and tissue deformation at the surgical site.

10 . The system of claim 1 , further comprising a contextual intent inference module configured to:

monitor at least one of one or more: surgeon gestures, voice commands, gaze patterns, and biometric indicators.

11 . The system of claim 1 , further comprising an augmented reality (AR) subsystem integrated into the surgeon console, configured to:

superimpose at least one of one or more: anatomical structures, procedural suggestions, surgical tool projections, and er AI alerts onto one or more live imaging feeds.

12 . The system of claim 1 , wherein the robotic surgical system includes an autonomous override mode, triggered upon detection of at least one of: a high-risk surgical procedural deviation and surgeon fatigue.

13 . The system of claim 1 , further comprising a sensor data preprocessing module coupled to the imaging system and the AI system, the preprocessing module including at least one processor and a memory storing instructions which, when executed, cause the surgical system to:

detect and correct for at least one of: temporal misalignment, drift, and latency across one or more multimodal sensor streams; and

continuously assess a signal quality.

14 . The system of claim 1 , wherein the one or more surgical arms include actuators with one or more haptic feedback sensors.

15 . The system of claim 1 , further including a user interface with an augmented reality (AR) functionality.

16 . The system of claim 1 , further including, for assessing and improving surgeon performance and fatigue during robotic surgery, comprising:

a performance monitoring engine coupled to the AI system configured to determine at least one of: command latency of the one or more surgical arms, a one or more surgical instruments deviation from a positioning, and one or more one or more surgical instrument collision.

17 . The system of claim 1 , wherein the AI system artificial intelligence mode includes a convolutional neural network for a real-time signal processing and a recurrent neural network for a temporal trend modeling.

18 . The system of claim 1 , wherein the surgical system is further configured to flag a fatigue-induced degradation, wherein fatigue-induced degradation includes a measurable decline in surgeon performance.

19 . A robotic surgical system for performing a surgical procedure at a surgical site of a patient, comprising:

a surgeon console including a display configured to receive one or more multi-modal surgeon commands and present a real-time visual feedback to a surgeon during performance of a surgical procedure at a surgical site using one or more surgical instruments;

a patient console coupled to the surgeon console;

a surgical robot including one or more surgical arms to manipulate the one or more of the surgical instruments, each of the one or more surgical arms configured to have a control in one or more multiple degrees of freedom;

an imaging system including one or sensors and one or cameras producing pre-operative images at the surgical target site for tissue to be modified or removed, tissue boundries, and critical structure, acquisition of the pre-operative images of the patient before a surgical procedure allowing a surgeon to visualize and create a modifiable surgical plan based on the patient's anatomy;

an AI system coupled to or including a robotic surgery control system and a feedback loop, the AI system including one or more machine learning algorithms configured to: (i) process a baseline pre-operative images to generate an AI model and a virtual model including one or more boundary indicators delineating at least a boundary of the surgical target tissue and a boundary of a protected tissue comprising the one or more critical structures; (ii) receive via a touch-screen user interface of the surgeon console, a surgeon annotation that modifies at least one of the boundary indicators; (iii) register the virtual model to the intraoperative image data; and (iv) provide real-time guidance by causing the surgeon console display to present the intraoperative image data with the boundary indicators overlaid on the displayed intraoperative image data, and by generating at least one of an alert or an inhibition of instrument positioning when a current or predicted instrument position is outside the boundary of the surgical target tissue or within a threshold distance of the boundary of the protected tissue the AI model including detecting a surgeon information directed to at least one of: a surgeon skill level, a physiological state of the surgeon, a cognitive load of the surgeon; and

a data integration module configured to interface with one or more of external hospital systems.

20 . A robotic surgical system, comprising:

a surgeon console operatively coupled to a patient console and one or more surgical instruments, the surgeon console configured for use by a surgeon to perform a surgical procedure at a surgical site using one or more surgical instruments;

a surgeon computer coupled to or integrated with the surgeon console, the surgeon computer coupled further operatively connected to the one or more surgical instruments;

an imaging system including a sensor array, the sensor array including one or more sensor types selected from the group including at least one of one or more: imaging devices, depth sensors, proximity sensors, 3D laser scanners, stereoscopic cameras, infrared cameras, ultrasonic sensors, electromagnetic tracking sensors, radar-based sensors, and physiological sensors, the sensor array configured to capture spatial and contextual data of a patient and an operating environment, the imaging system configured to acquire (i) baseline pre-operative images of at least a portion of the surgical site before initiation of tissue modification, including surgical target tissue to be modified or removed and one or more critical structures, and (ii) intraoperative image data during the surgical procedure, the baseline pre-operative images enabling the surgeon to create a modifiable surgical plan based on the patient's anatomy;

a surgical robot with one or more surgical arms and operatively coupled to the surgeon console;

an AI system coupled to or including a robotic surgery control system and a feedback loop, the AI system including one or more machine learning algorithms configured to: (i) process the baseline pre-operative images to generate an AI model and a virtual model including one or more boundary indicators delineating at least a boundary of the surgical target tissue and a boundary of a protected tissue comprising the one or more critical structures; (ii) receive, via a touch-screen user interface of the surgeon console, a surgeon annotation that modifies at least one of the boundary indicators; (iii) register the virtual model to the intraoperative image data; and (iv) provide real-time guidance by causing the surgeon console display to present the intraoperative image data with the boundary indicators overlaid on the displayed intraoperative image data, and by generating at least one of an alert or an inhibition of instrument positioning when a current or predicted instrument position is outside the boundary of the surgical target tissue or within a threshold distance of the boundary of the protected tissue.