What Does AI Look Like in the Medical Field
Imagine the future. You are sitting on a plush couch, but you don’t feel well. So, you insert your arm into your AI machine, which monitors your blood and heart rate. After the machine samples your blood and runs the tests, it sends the data and the analysis to your doctor for review. There is no traveling, long lines, and wait time, but instead an analysis accuracy that beats human judgment with precision.
This dream of artificial intelligence paving the way for an effortless revolutionary world is not so far away as incredible advances in medicine are being made.
A Helpful Tool
When people think of artificial intelligence, they think of how we portray AI in Sci-Fi movies. And while Sci-Fi movies do entice our imaginations, they don’t provide an accurate picture of how artificial intelligence works. Although AI robots are stereotyped as the villains of the story, AI in real life isn’t limited to a robot and looks more like a fantastic way of processing data through algorithms.
Artificial intelligence in its current form is best described as a machine programmed with algorithms designed to make data-based judgments. Programmers create the algorithms to perform tasks with speed and accuracy.
Within the medical field, programmers have experimented with creating algorithms that will spot the difference between healthy and unhealthy cells. According to Harvard, the AI test trials have a 99% accuracy rate and could lead to treating root causes of diseases instead of mediating the symptoms. As a result, AI could be one of the best tools a doctor has at disposal.
The Benefits of AI in the Medical Field
The potential benefits of AI cannot be overstated. For example, one AI machine can process data and then provide a detailed summary faster and more accurately than a doctor can. However, such a development doesn’t render doctors obsolete. Instead, the machine will help doctors serve more people and focus on their connection with their patients with the time freed up.
In addition to more time, doctors can review the AI’s results to give the patient a detailed diagnosis and recovery plan. The implications of AI’s early detection involve better medicine, higher life expectancy, and lower mortality rates. In addition, AI virtually eliminates human error.
When AI is used more commonly within medicine, the out-of-pocket cost for patients per visit should decrease. With more of the work shouldered by AI machines, doctors and patients alike benefit from the convenience and efficiency AI offers.
Gaining Credibility and Trust
Currently, AI still has a few hurdles to jump before becoming an integrated part of medicine. Before it reaches doctors en masse, it must go through extensive testing and receive an FDA approval.
The testing isn’t arbitrary either. Programmers test AI by having the algorithms provide an analysis. The analysis is compared with the correct outcome and then repeated with new data or adjusted to make the algorithm more accurate. This process is scrutinized to make sure any mistakes in the algorithm and its results are caught and fixed.
What may prove to be the biggest hurdle is gaining acceptance among patients who are skeptical of AI being used with a doctor. AI is not exactly personable, and some patients may feel more comfortable with a doctor making a diagnosis, even if it is wrong. Hopefully, refined AI algorithms will inspire confidence in patients that the benefits far outweigh the initial unfamiliarity.
To The Future
An AI directly involved in medicine is still years away, but steady progress and continual education will make medicinal AI much closer to reality. The potential of AI and the advancement of better medicine is excellent and promising, making the future seem all the more bright.
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