A
surgical robot is coupled to the surgeon console. The
surgical robot performs a robotic surgical procedure. The
surgical robot includes one or more robotic surgical arms. A
control system is coupled to the one or more robotic surgical arms. An
artificial intelligence (“AI”)
system includes a plurality of
machine learning algorithms. The robotic surgical arms are at least partially controlled by the AI
system and the control device to process intraoperative data including images captured by cameras and sensor inputs. The
machine learning algorithms analyze the intraoperative data in real time, comparing it with stored images and procedural information in image recognition and procedure databases. The one or more
machine algorithms enable at least partial identification of
anatomical structures. In response to detection of the
anatomical structures the AI
system at least partially adjusts movement of the robotic surgical arms to avoid critical
anatomical structures while performing the
robotic surgery procedure to ensure precise targeting at the
surgical site while minimizing damage to surrounding tissue at a
surgical site. The AI system provides a surgeon with improved dexterity when the surgeon uses the robotic surgical arms at the
surgical site, the improved dexterity resulting from at least partially analyzing the intraoperative data in real time by the one or more
machine learning algorithms, enabling precise and adaptive manipulation of the robotic surgical arms at the surgical site.