Artificial Intelligence and it’s growing implications in the medical sector

According to studies conducted by medical scientists and researchers in the United States, artificial intelligence is developing a much more influential role than it has held in previous years. How, specifically? By diagnosing the genetic disorders of any patient, just by examining a picture of their face.

It seems quite simple; yet, the efficiency this technology can provide to any health care worker is unmatched. Consider the study done by Yaron Gurovich and his team of technology officers at GNDA. Pairing the abilities of nurses, physicians, and psychiatrists in diagnosing their patient’s diseases, with the simple efforts of a clunk of metal in a study with over 500 individuals, it seemed logical that the efforts of man would triumph that of a machine. However, this was not the case in this study. Artificial intelligence accurately diagnoses the individuals, a whopping 13% higher than any of the medical health workers. Not only that, but the amount of time it took for the human beings to complete their tasks far exceeded the amount of time it took for artificial intelligence. So with the success of artificial intelligence being experimentally proven, what can we do next? Should we cut down on health workers and start dumping funds into the progression of artificial intelligence? Not necessarily.

While its efforts are irrefutably incredible, artificial intelligence can not work on its own without the aids of health workers. Health workers are necessary for confirming these diseases, offering treatments, and learning from them in order to limit their appearance in the rest of humanity, without any need for diagnosing. However, this discovery must still be considered for each hospital in the United States. Further progressing artificial intelligence’s capabilities to aid the humans is the most beneficial endeavor society can partake in. “While several limitations still need to be addressed to ensure the proposed algorithms are robust in the hospital environment, clinically accurate, and applicable to different age groups and ethnic populations, the potential of AI in healthcare is immense,” said Cardoso (an individual not part of the research).

Thus, artificial intelligence and the potential it holds in medical diagnosis should be further bolstered by STEM workers. Rather than cutting down on jobs, bolstering artificial intelligence would strengthen and unite the entire STEM industry under one common goal: the betterment of humanity.

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