Artificial Intelligence In The Healthcare System

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Artificial intelligence is, per Oxford Dictionaries, “the theory and development of computer systems able to perform tasks that normally require human intelligence” (Oxford). Artificial intelligence is used in healthcare systems to assist in surgeries and improve effectiveness and accuracy (Agah). One major problem with it is that computers with artificial intellect, such as Siri and IBM’s Watson, cannot hold a full conversation (Knight, Will). While the problem is trying to be fixed, it is still a major setback. These systems can only interpret a few simple commands rather than communicate regular conversations that humans do daily. According to an article by Will Knight, these systems lack a deeper learning.
How did Artificial Intelligence start in surgeries?
Artificial Intelligence has been around the healthcare system for nearly two decades assisting in surgeries. Catherine Mohr discusses the evolution of surgical robots used in the healthcare system. She talks about how doctors had to learn to use the robots
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Imperial College London performed a study that proved robot assisted knee surgeries were highly accurate compared to that of a surgeon. Surgeons should want to perform assisted surgeries because they prove to have better outcomes and it could potentially save more lives in the long run. The study also concluded that assisted surgeries took only a few minutes longer to perform and that there were no other side effects caused it. The robot assisted surgeries lined the bones so accurately that only 40 percent of the surgeons could achieve it (Imperial College London). Professor Justin Cobb stated, “This study could have important implications for not just surgery, but also for health economics. … we can make sure the knee replacements work better and last longer, preventing the need for additional surgery. (Imperial College

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