The Role of Artificial Intelligence in Complex Surgical Procedures: Orthopedic Surgery
AI is expected to play a significant role in the future of complicated surgeries. It will be used to create 3D models of a patient’s anatomy to aid in surgical planning and simulation, provide real-time guidance and navigation during the procedure, monitor and analyze vital signs and physiological data, and control robotic surgical systems. These applications of AI have the potential to improve the accuracy and safety of complicated surgeries, leading to better patient outcomes.
Rafael D. Mikhrali
12/19/2022 – 1 min read
Artificial intelligence (AI) can potentially be used to assist with surgeries, including orthopedic surgery, in a number of ways. Some examples of how AI might be used in surgery include:
Planning and simulation: AI algorithms can be used to create 3D models of a patient’s anatomy, which can be used to plan and simulate surgical procedures. This can help surgeons to better understand the patient’s anatomy and visualize the steps of the surgery, improving the accuracy and efficiency of the procedure.
Guidance and navigation: AI can be used to track the location and orientation of surgical instruments and other medical devices during a procedure, providing real-time guidance and navigation to the surgeon. This can help to reduce the risk of complications and improve the outcome of the surgery.
Monitoring and analysis: AI algorithms can be used to monitor the patient’s vital signs and other physiological data during surgery, and to analyze this data in real-time to identify any potential issues or complications. This can help surgeons to make informed decisions and take appropriate action to ensure the patient’s safety.
Robotic assistance: AI can be used to control robotic surgical systems, which can be used to perform certain aspects of the surgery with high accuracy and precision. This can help to reduce the risk of complications and improve the outcome of the surgery.
It is important to note that AI is still an emerging technology in the field of surgery, and its use is still being researched and evaluated. It is not yet widely used in clinical practice, but it has the potential to significantly improve the accuracy and safety of surgical procedures in the future.
