exploratory essay
Danuwar 1
Roshan Danuwar
Professor Pam Schuman
ENGL 1301, Section 23006
4 April 2018
AI More Accurate Than Humans
Humans are often surrounded by smart devices these days. Whether it be a smart phones, smart watches or fit bands; Artificial Intelligence is used. Not only in small devices, Artificial Intelligence is being widely used in large scales, like in multi-national companies, hospitals, commercials banks, military and many more. We have biometric locks, facial locks, voice recognition systems used by large scale industries, government, military to keeps records of the employee and for safety of their documents. Similarly, Hospitals are using different machines in different surgery, detecting diseases and curing diseases as well. All the machines used, have Artificial Intelligence on them. While surfing about the Artificial Intelligence and the fields its being used, its use in hospitals and medical research, seemed more interesting for me. I started searching more about the use of Artificial Intelligence in hospitals and medical researches. I ended up with a question: Can AI replace doctors?
After my first search, I had a question on my head about the accuracy of the AI while diagnosing the body, then I searched more using different terms about use of AI in hospitals and found the article “Artificial intelligence will soon be a standard part of your medical care -- if it isn't already. Can you trust it?” by Kayt Sukel. In this article Sukel talks about “the use of Artificial Intelligence medical diagnostic apps used by British National Health Service”. This apps helps to decrease the error while diagnosing the diseases and to give the correct prescription for patients. Furthermore, Surel introduces the fact that “One in 10 medical diagnoses is wrong, according to the US Institute of Medicine. In primary care, one in 20 patients will get a wrong diagnosis. Such errors contribute to as many as 80,000 unnecessary deaths each year in the US alone.” We can easily assume that the patients are losing their life because of unnecessary errors. Surel adds more about the accuracy given by AI while diagnosing the patients in this article. This fact makes me understand than diseases can be diagnosed more accurately by AI than the human doctors. If this technology is introduced all around the globe, we can reduce the unnecessary death caused by diagnosis errors.
After these search, I wanted to know where else AI can be used in medical fields and I found the third article “Paperless Medicine” by David W. Bates. Bates in this article scatters light on miscommunication between two hospitals because of hand written records. He further explains about the transformed record, which are shuttled and often gets late. Furthermore, the handwritten records are always hard to understand, because of which patients bear unnecessary trouble. Electronic records help doctors to send records instantly and instead of going thoroughly from word to word in a record, doctors will be able to figure out the exact problem and can start the treatment. Though, it is expensive than hand written records, it is more accurate and less time consuming.
Based on my research, I am clear that AI can save lives of people more compared to present days. I can relate the developing and underdeveloped countries where mortality rate is often high because of less number of doctors and accuracy in diagnosis. AI can help in diagnosing and in finding the diseases, where there are few doctors and where it is difficult to reach to doctors. Furthermore, use of AI in big industries in keeping the record of employee health and assisting them with their personal health care can benefit them in keeping their employee fit. I have more curiosity about AI and its benefit on health sector after my research. I will conduct more research on this topic in future. Still use of AI is limited with in certain countries. If it is brought is use all around the globe and if we keep the fact that AI still needs human to operate in a side, there is no doubt in saying that AI can replace the doctors in a near future.
Works Cited
Temming, Maria. "Computers Can Diagnose Eye Problems." Science News, vol. 193, no. 6, 31 Mar. 2018, p. 15. Academic Search Complete, dcccd.idm.oclc.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=128471758&site=ehost-live.
Sukel, Kayt. "With a Little Help from AI Friends." New Scientist, vol. 235, no. 3134, 15 July 2017, pp. 36-39.Academic Search Complete, dcccd.idm.oclc.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=124050358&site=ehost-live.
Bates, David W. and Anthony L. Komaroff. "Next: Paperless Medicine." Newsweek, vol. 148, no. 16, 16 Oct. 2006, p. 63.Academic Search Complete, dcccd.idm.oclc.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=22634377&site=ehost-live.