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Rhetorical Analysis Of AI In Clinical Medicine And Dentistry

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When reading “AI in Clinical Medicine and Dentistry” written by Milan Miladinović and several research scientists from Serbia has a very effective rhetorical approach. Artificial intelligence can be defined as the process of robots doing tasks that a human would require to do. This source of information is a highly scholarly source since it is writing by many scientists in the field of medicine. The article “Artificial Intelligence in Clinical Medicine and Dentistry” provides several points to show how Artificial Intelligence (AI) is beneficial to the medical community. The purpose of this essay is to be persuasive to tell people about the humane benefits that it would make easier to society. The audience of this source may include, but …show more content…

The author condenses the article into three main pieces: The Concept of AI, Overview of AI application in Clinical and Dental Medicine, and Suggestions for Possible Further Research Questions. Miladinović’s sense of organization is very specific when talking about why AI has major medical benefits. The author does a great way of showing this when in the paragraph “The concept of AI” he does not define the term “AI,” but instead describes what it is. Miladinović uses a friendly tone when he talks about that “AI has to be able to decide whether and what degree pieces of information are true” (Miladinović page 268). The reason this can be viewed as a friendly tone are that it isn’t negative when talking about artificial intelligence, but referring to how these robots could think critically like humans. He also has information that is very positive when he starts of a sentence that “AI requires excellent classifier behavior” (Miladinović 268). In this paragraph the language is more about how the author feels about artificial intelligence, but not a lot of actual statistics. There is not a whole lot of actual scientific data, but does a good job of defining what AI …show more content…

Also in this paragraph, the author is giving an example when he talks about an experiment “regarding the presence of anemia as the consequence of iron deficiency” (Miladinović 268). His use of statistics can be viewed as persuasive, since there is actual clinical trials that are put in to the paper. Miladinović does a good job of this when he discusses “clinical data from 20,000 patients of Royal Marsden Hospital” (Miladinović 269). His type of organization is very effective because he goes over multiple clinical trials, and experiments that have made AI effective. Another way that the author is persuasive is when he talks about how AI can understand the reasons for tooth extraction. Miladinović hopes to make the audience feel that the robotics are human when he says that the AI knows what it is doing. He is effective because he says that “60 % of silicate dental cement restorations were replaced as early as 5 years after initial placement” (Miladinović page 269). What he means is dentists successfully detect new caries in their new patients compared to old patients with the process of artificial intelligence. This has a great organization because the author continues to use statistics to back up his argument. These are persuasive since the author uses specific numbers to talk about why AI is worth looking at. The last paragraph when Miladinović talks about

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