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AI and robotics have been used successfully in total joint replacement procedures in orthopedics.
FREMONT, CA: It is nearly impossible to avoid injury in athletics, whether you are a professional athlete or training for your first marathon.
Those who have sustained sports-related injuries are already aware of the long-term benefits surgery can provide for their recovery. Because of the increasing use of artificial intelligence (AI) and robotics in sports medicine, surgical procedures are becoming less invasive, more precise, and personalized, resulting in greater short-term benefits. This includes reduced recovery time, allowing many athletes to return to the game faster.
Looking ahead, AI and robotics are on track to improve sports medicine and the lives of athletes who suffer from common injuries.
Procedures with Low Invasiveness
Surgeons can now be more precise, less invasive, and patient-specific, thanks to robotics. For example, in robotic-assisted joint replacement, the procedure is planned using a 3D virtual model of the patient's anatomy, resulting in a hip replacement that feels and functions like a normal hip.
Shorter Recovery Time
Athletes will almost certainly recover faster by introducing minimally invasive surgical procedures associated with AI and robotics. As a result, fewer athletes may be permanently sidelined by injuries, potentially extending their careers or allowing them to participate in their favorite sport or activity.
Modern Technology
AI and robotics are not only sophisticated fields of technology in and of themselves, but they also contribute to the advancement of additional technological tools that can improve patient care and recovery. At AHI, for example, we have developed an AI-powered algorithm that allows us to determine the best course of care for a specific patient.
Previously, to counsel their patients, surgeons had to base their practice on evidence from outside institutions and draw conclusions based on other doctors' patients. This new algorithm, which is based on our own surgical outcomes data, eliminates the need for this. Now, one can feed patient-specific data into AI-powered algorithm to determine the best treatment options and associated success rates.
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